<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">APM</journal-id><journal-title-group><journal-title>Advances in Pure Mathematics</journal-title></journal-title-group><issn pub-type="epub">2160-0368</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/apm.2013.37084</article-id><article-id pub-id-type="publisher-id">APM-38559</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Physics&amp;Mathematics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Normality and Its Variants on Fuzzy Isotone Spaces
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>tephen</surname><given-names>M. Gathigi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moses</surname><given-names>N. Gichuki</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paul</surname><given-names>A. Otieno</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hezron</surname><given-names>S. Were</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Mathematics, Egerton University, Egerton, Kenya</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>machariastephen.y31@gmail.com(TMG)</email>;<email>gichukih2002@yahoo.com(MNG)</email>;<email>ptooex@yahoo.com(PAO)</email>;<email>werehezron@gmail.com(HSW)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>17</day><month>10</month><year>2013</year></pub-date><volume>03</volume><issue>07</issue><fpage>639</fpage><lpage>642</lpage><history><date date-type="received"><day>August</day>	<month>7,</month>	<year>2013</year></date><date date-type="rev-recd"><day>September</day>	<month>8,</month>	<year>2013</year>	</date><date date-type="accepted"><day>October</day>	<month>6,</month>	<year>2013</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   The study of fuzzy sets is specifically designed to mathematically represent uncertainty and vagueness by assigning values of membership to objects that belong to a particular set. This notion has been broadly extended to other areas of topology where various topological concepts have been shown to hold on fuzzy topology. Some notions naturally extend to closure spaces without requiring a lot of modification of the underlying topological ideas. This work investigates the variants of normality on fuzzy isotone spaces. 
 
</p></abstract><kwd-group><kwd>Fuzzy Sets; Fuzzy Closure Space; Fuzzy Isotone Space; Fuzzy Normality</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The idea of a class of sets with a continuum of grade of membership, ranging between zero and one, was first introduced by Zadeh in 1965. A larger degree of membership of an object reflects a stronger sense of belonging to a set. If A is a set in the ordinary sense of the term, then its membership takes only two values, 0 and 1. The notions of inclusion, union, intersection, complement, relation and convexity can be extended to such sets [<xref ref-type="bibr" rid="scirp.38559-ref1">1</xref>].</p><p>Fuzzy closure spaces were introduced by [<xref ref-type="bibr" rid="scirp.38559-ref5">5</xref>] in an attempt to show that fuzzy topological spaces do not constitute a natural boundary for the validity of theorems and results. The axioms used to define fuzzy closure spaces are the modified Kuratowski closure axioms that have previously been used to extend the study of the concepts of topological spaces. The class of isotonic spaces is defined using only two Kuratowski closure axioms, namely the grounded axiom <img src="7-5300558\e033d9ad-59a7-4a51-83f8-106a14c57cf0.jpg" /> and the isotone axiom</p><p><img src="7-5300558\6bce1d05-bf39-4361-80e3-faa782c479ee.jpg" /></p><p>where <img src="7-5300558\3b3261f8-cc2b-41b8-99cb-005e9d115db4.jpg" /> is the closure operator on a nonempty set<img src="7-5300558\5cab0efd-21e1-4267-9fce-5a99f4ffc472.jpg" />.</p></sec><sec id="s2"><title>2. Literature Review</title><sec id="s2_1"><title>2.1. Fuzzy Sets</title><p>In [<xref ref-type="bibr" rid="scirp.38559-ref2">2</xref>], a fuzzy set in <img src="7-5300558\93582c48-8710-4181-bb15-316f1c61f73b.jpg" /> is defined as a function<img src="7-5300558\2714c412-a016-4857-98ba-f6c25474f3cb.jpg" />. Here <img src="7-5300558\d35111bd-b8e9-4119-9304-2c1f41243b60.jpg" /> represents the degree of membership of <img src="7-5300558\e29c1fd4-91e2-437c-9dfe-a938546da1c6.jpg" /> in the fuzzy set<img src="7-5300558\213b948f-bdce-416b-abf7-801f2ad8da04.jpg" />.</p></sec><sec id="s2_2"><title>2.2. Crisp Fuzzy Sets</title><p>Any subset <img src="7-5300558\0225c66a-9d5c-45d1-a541-f2428e6e27ca.jpg" /> of a set <img src="7-5300558\925d0b8d-31f1-4b78-bc96-8359d62857d9.jpg" /> can be identified with its characteristic function <img src="7-5300558\410c45a4-e3f7-4cdb-9cec-9271ba2f34cf.jpg" /> defined by;</p><disp-formula id="scirp.38559-formula134334"><label>(1)</label><graphic position="anchor" xlink:href="7-5300558\bdaa16bf-57b9-4361-ab5c-d883b28e8be5.jpg"  xlink:type="simple"/></disp-formula><p>Such characteristic functions are fuzzy sets in<img src="7-5300558\3c004f8d-7047-4198-9ed0-d9cc6fc45c15.jpg" />. Thus fuzzy sets generalize ordinary sets [<xref ref-type="bibr" rid="scirp.38559-ref3">3</xref>].</p></sec><sec id="s2_3"><title>2.3. Definitions on Fuzzy Sets</title><p>Let <img src="7-5300558\23f76d51-76cd-42ce-8569-4f6ffb9002a3.jpg" /> and <img src="7-5300558\0aeaee44-e548-400a-9d30-a049e7bdea3e.jpg" /> be <img src="7-5300558\6aad9899-ab74-4bad-8f41-d5a23810bbf7.jpg" />-valued functions defined on a fixed set, i.e fuzzy sets on<img src="7-5300558\766291d0-dc9f-4414-8d88-4eccf4c29bb9.jpg" />. Then according to [<xref ref-type="bibr" rid="scirp.38559-ref3">3</xref>];</p><p>1) <img src="7-5300558\986ec00a-94b0-43e2-8e9d-11e1ed27a55b.jpg" />implies <img src="7-5300558\912fbf17-3a15-48c5-9699-3ca575b9fcc0.jpg" /> for every<img src="7-5300558\50c5c9e9-e9a0-464a-98a1-f93b409c072e.jpg" />.</p><p>2) <img src="7-5300558\7e0d64ef-5550-41db-96dc-9232cf7450f1.jpg" />implies <img src="7-5300558\eea257de-a388-451e-8b24-43039f6a1558.jpg" /> for every<img src="7-5300558\a68a102f-4d4e-4016-948d-f9463de0926b.jpg" />.</p><p>3) Maximum function:</p><p><img src="7-5300558\8cd2beaa-395b-4592-8b5b-4daa648134e7.jpg" />.</p><p>4) Minimum function:</p><p><img src="7-5300558\84535b05-b3e5-40e6-810a-4bdcc45de95e.jpg" />.</p><p>5) Complement function:<img src="7-5300558\3626c66d-0fa1-417b-b8a2-c50397a804ff.jpg" />. These are [0,1]-valued functions.</p><p>For two fuzzy sets <img src="7-5300558\4ff2afef-9084-417c-8058-0a6895fa0e44.jpg" /> and <img src="7-5300558\1f65150a-9556-455a-af9a-aa84871e833f.jpg" /> in<img src="7-5300558\bc93ca52-81de-4dd8-bee1-6cf3269eabe7.jpg" />;</p><p>1) <img src="7-5300558\13a45208-1b34-4fa9-b49a-c8b28134d786.jpg" />and <img src="7-5300558\e8dc7e46-7b16-41b5-8f63-ee0d09ff5539.jpg" /> are equal if and only if<img src="7-5300558\850174c5-826e-4c00-bb01-a66f9de170ac.jpg" />.</p><p>2) <img src="7-5300558\d83cd566-4775-4fd2-9705-e98f9f275ea0.jpg" />is contained in <img src="7-5300558\84328050-d63a-4e45-b4a1-7e1109f55ef2.jpg" /> if and only if<img src="7-5300558\696ffc4f-6af5-46ea-8b04-b3e6a0fbabab.jpg" />.</p><p>3) The union of <img src="7-5300558\d0bfdf0b-32a5-4ced-af06-5b2049bccfbd.jpg" /> and <img src="7-5300558\b118aba0-9c04-40e7-9f5e-2cc3c75f697d.jpg" /> is<img src="7-5300558\589d0ff5-9c7e-42af-9878-811da6eaaff2.jpg" />.</p><p>4) The intersection of <img src="7-5300558\78c7d8aa-7443-4278-aef3-a7efdf34f4e2.jpg" /> and <img src="7-5300558\5d61c240-6f5a-4c6b-b755-4f5a2ae83156.jpg" /> is<img src="7-5300558\cee40134-a282-47a7-8a5c-04c30f0a7ae5.jpg" />.</p><p>5) The complement of <img src="7-5300558\f5be9470-5501-4470-899f-37ea11e8a1a7.jpg" /> is<img src="7-5300558\b6254a3f-33cc-4553-a7de-b0078d25d379.jpg" />.</p><p>Let <img src="7-5300558\8d45cde4-14c8-4253-af39-c58f96f1fe79.jpg" /> be fuzzy sets. Then the union of <img src="7-5300558\8f42317d-f478-475a-8966-f17fcf8381d2.jpg" /> is defined by;</p><disp-formula id="scirp.38559-formula134335"><label>(2)</label><graphic position="anchor" xlink:href="7-5300558\3eae85d2-80d9-404f-8f4a-dd7e21ff0c45.jpg"  xlink:type="simple"/></disp-formula><p>The intersection of <img src="7-5300558\d23bbbf8-dd29-457a-a63a-3e95cfa68cc5.jpg" /> is defined by;</p><disp-formula id="scirp.38559-formula134336"><label>(3)</label><graphic position="anchor" xlink:href="7-5300558\31e25058-e6fd-4a21-aa64-43650e1890f3.jpg"  xlink:type="simple"/></disp-formula><p>If <img src="7-5300558\a6dbc31c-bc99-482a-a6b4-610ba6850ccd.jpg" /> are crisp, i.e. they are characteristic functions, then these suprema and infima are actually maxima and minima.</p></sec><sec id="s2_4"><title>2.4. Fuzzy Topology</title><p>According to [<xref ref-type="bibr" rid="scirp.38559-ref4">4</xref>], a fuzzy topology on a set <img src="7-5300558\ad997711-b862-4020-b5e6-4c0d7da920b2.jpg" /> is a collection <img src="7-5300558\e0616ce3-f58e-43d6-97fc-de2c070de602.jpg" /> of fuzzy sets in <img src="7-5300558\722988f1-33b1-4fbc-a34d-a95da7547cba.jpg" /> satisfying</p><p>1)<img src="7-5300558\5c271656-ada1-447d-8d60-8781b9cd2ba7.jpg" />, where <img src="7-5300558\01c32ccf-dc46-42bd-adaf-3d7720232010.jpg" /> is equivalent to the empty set.</p><p>2) If <img src="7-5300558\24fa8d0c-148a-4925-b5d7-60ca77ca6c88.jpg" /> and <img src="7-5300558\da285b88-154a-4351-a913-edc25bc97ee2.jpg" /> belong to<img src="7-5300558\89a6a990-b5d1-402f-9afb-768aacae34a0.jpg" />, then<img src="7-5300558\ffb3935a-2491-4e3e-bc58-93ba9a9cac8f.jpg" />.</p><p>3) If <img src="7-5300558\91e14039-9169-4db8-8bf8-17df2f090cf5.jpg" /> are fuzzy, then<img src="7-5300558\2d7a7694-4f7d-4c37-b1c6-aade7b6c711a.jpg" />. The members of <img src="7-5300558\6503cd3b-7b50-4b6a-b97e-6055e88424c0.jpg" /> are called open fuzzy sets.</p><p>The pair <img src="7-5300558\a3d2c52e-0f6f-489b-a45a-2a67cc8c48a2.jpg" /> is called a fuzzy topological space. Fuzzy sets of the form<img src="7-5300558\de85d174-f09c-48d3-b048-051a53011e75.jpg" />, where <img src="7-5300558\7952b882-6bca-42d7-b311-4dba50dd0dce.jpg" /> is fuzzy are called closed fuzzy sets.</p></sec><sec id="s2_5"><title>2.5. Functions and Fuzzy Continuity</title><p>Let <img src="7-5300558\9b984bc1-81be-4310-9dfa-001b808926d1.jpg" /> and <img src="7-5300558\00a21c8c-341d-4a20-a32b-96c742a416ba.jpg" /> be sets and <img src="7-5300558\45b99364-73ba-47c0-aeea-e4ec76e2eaa3.jpg" /> be a function. For a fuzzy set <img src="7-5300558\148c5dd9-0e1d-4e4c-b7ce-3f498764f4ff.jpg" /> in<img src="7-5300558\e0734b13-6688-4f7c-89f3-2b2c54902bb1.jpg" />, the inverse image of <img src="7-5300558\54231f83-387c-4761-a21f-f7c7050b5564.jpg" /> under <img src="7-5300558\f8aa21b9-4e8e-447b-bd4a-288fbd0713b4.jpg" /> is the fuzzy set <img src="7-5300558\a857c95e-3f00-499f-8be2-0cb63992e6ea.jpg" /> in <img src="7-5300558\eef01fc6-fe5b-4c93-9634-c43494126cac.jpg" /> defined by;</p><p><img src="7-5300558\8fc68309-a9dc-4a66-aa11-cdd3fafa3910.jpg" /></p><p>for<img src="7-5300558\57a46944-fb26-4431-b92c-b7b97d329e52.jpg" />. That is<img src="7-5300558\44600ca5-0ce6-4662-9307-7b9e77945c4d.jpg" />.</p><p>For a fuzzy set <img src="7-5300558\dad59044-8a5e-4a0c-91fd-1392e9a2f817.jpg" /> in<img src="7-5300558\262812fb-b793-440c-9e0d-278529cf134e.jpg" />, the image of <img src="7-5300558\efdd59b1-288a-4899-bce4-e81845bd7de6.jpg" /> under <img src="7-5300558\b9fe17d7-31df-4142-911d-033b7bb51d9f.jpg" /> is the fuzzy set <img src="7-5300558\436e4905-e982-4e0f-8778-7278701bc10e.jpg" /> in <img src="7-5300558\0e9c2fd2-cbca-45f1-b195-9dd8611546fd.jpg" /> defined for <img src="7-5300558\6c2d7127-4a71-4287-ac9a-46cdaa584982.jpg" /> by;</p><disp-formula id="scirp.38559-formula134337"><label>(4)</label><graphic position="anchor" xlink:href="7-5300558\632c5fea-4e3d-4da9-9158-3247859129c3.jpg"  xlink:type="simple"/></disp-formula></sec><sec id="s2_6"><title>2.6. Fuzzy Continuity</title><p>Given fuzzy topological spaces <img src="7-5300558\a85a9b91-7894-43c2-999f-6311ea5541ef.jpg" /> and<img src="7-5300558\44e28d51-966a-430f-8d03-0bee3ebfa303.jpg" />, then according to [<xref ref-type="bibr" rid="scirp.38559-ref2">2</xref>], <img src="7-5300558\432b33b6-1a35-402f-ace3-d8cb1d5cd94f.jpg" />is fuzzy continuous if the inverse image under <img src="7-5300558\3725d620-f367-47db-b2e8-98e8367e6a4c.jpg" /> of any open fuzzy set <img src="7-5300558\823d15d7-060f-4a43-8fac-4b5e62e9292e.jpg" /> in <img src="7-5300558\e612cd16-e347-4256-9aab-cd4fc7049f90.jpg" /> is an open fuzzy set in<img src="7-5300558\0fa180d4-0fcb-413d-a2f6-9cf2ba7562ca.jpg" />, i.e <img src="7-5300558\19baa963-94ad-4eff-9ed7-cf6c12616725.jpg" /> whenever<img src="7-5300558\16b60908-be03-4c58-973f-b636fa4c4262.jpg" />.</p><p>The identity mapping <img src="7-5300558\8ec732fb-6221-4dc7-beec-74a6b601251f.jpg" /> on a fuzzy topological space <img src="7-5300558\dff508ae-5199-41c5-8072-54e45abef0ed.jpg" /> is fuzzy continuous.</p></sec><sec id="s2_7"><title>2.7. Closure and Interior Operation on Fuzzy Sets</title><p>Let <img src="7-5300558\9dd5d17b-2813-48d7-8527-03adc27bba74.jpg" /> be a fuzzy topological space. The closure <img src="7-5300558\f59867c3-6fb7-44a1-919b-38281b763999.jpg" /> and interior <img src="7-5300558\5b01a92f-b225-4822-a5ee-f520e12141b3.jpg" /> of a fuzzy set <img src="7-5300558\d7b03f0b-7f95-4164-8b93-fe252579391e.jpg" /> in <img src="7-5300558\fba24fc2-7112-4f32-bcad-9cb96f91f4a5.jpg" /> are defined respectively by [<xref ref-type="bibr" rid="scirp.38559-ref3">3</xref>] as follows;</p><p><img src="7-5300558\6523b5bd-0115-4bbf-85ea-20db1fc2a49b.jpg" /></p><p><img src="7-5300558\1ecd21f4-a2c9-46fb-91a4-47ca2d43146c.jpg" /></p><p>It is easily seen that <img src="7-5300558\306cc8d6-8710-4a63-bb54-4e2c1f938d49.jpg" /> is the smallest closed fuzzy set larger than <img src="7-5300558\3c63fa66-e7c4-4278-8739-5cefb7b8e5b5.jpg" /> and that <img src="7-5300558\8265563a-e365-4dd8-a55b-2d598430cfd7.jpg" /> is the largest open fuzzy set smaller than<img src="7-5300558\9089b9ce-edb7-4987-9941-1eaef1b0ca1a.jpg" />. These definitions coincide with their analogous definitions on ordinary sets.</p></sec><sec id="s2_8"><title>2.8. Fuzzy Closure Spaces</title><p>Let <img src="7-5300558\054046cc-0a50-4051-8f6b-398008847cf3.jpg" /> be the collection of all mappings from <img src="7-5300558\e60ca8ea-12b8-4472-b828-319c1c5499d3.jpg" /> to the unit interval<img src="7-5300558\0634398c-248b-4f38-89f2-fb03ced373c1.jpg" />, i.e <img src="7-5300558\0c4c861a-6f3f-4ab6-bb4d-9f207de469d9.jpg" /> is the collection of all fuzzy sets on the non-empty set<img src="7-5300558\c3ddeb42-e701-4cc8-8ed5-b99c9471252b.jpg" />. Then from [<xref ref-type="bibr" rid="scirp.38559-ref5">5</xref>], an operator <img src="7-5300558\42800dd2-2180-4382-b4bf-807922cc52aa.jpg" /> is a fuzzy closure operator if and only if</p><p>1) <img src="7-5300558\05cbdc2d-5f3b-45b6-8637-a065a3bdbb43.jpg" />constant.</p><p>2) <img src="7-5300558\cddcd6dc-cac9-4883-9519-e1e1e197cca6.jpg" />for every<img src="7-5300558\6022c7b5-0c6a-420a-824f-c61d170901ed.jpg" />.</p><p>3) <img src="7-5300558\0eaa3932-26d1-4359-8bb5-728e57ef7e0c.jpg" />for every<img src="7-5300558\2ab91c11-75ec-4ca8-853c-467bc0723443.jpg" />.</p><p>4) <img src="7-5300558\31612ba0-8b6b-4f2e-83a1-45b734e7532e.jpg" />for every<img src="7-5300558\0687448c-189c-473d-aeee-f69e8943ccad.jpg" />.</p><p>The closure operator may also be used to characterize closed sets. A set <img src="7-5300558\edc3f11c-7106-4665-b36f-6e76054c5a90.jpg" /> is closed if<img src="7-5300558\a66a20d3-9895-4bad-b5c6-f326355f8258.jpg" />. A fuzzy interior operator <img src="7-5300558\6b7d3c34-c3e8-4f5c-813f-1655805dd85f.jpg" /> is the dual of a closure operator. It is defined by;</p><p>1) <img src="7-5300558\799e8cb8-5fc1-41bf-bdea-2129e3f574d9.jpg" />constant.</p><p>2) <img src="7-5300558\e93c713d-835d-4eb3-be49-3d115bd1b013.jpg" />for every<img src="7-5300558\a2a39111-f443-48b4-b6e6-313b488d0f2e.jpg" />.</p><p>3) <img src="7-5300558\f0c261d0-337b-48b4-8fac-e1ceb3798e6f.jpg" />for every<img src="7-5300558\1f36ced5-4650-4621-89ff-5660ab4e9c95.jpg" />.</p><p>4) <img src="7-5300558\291ced06-b413-4573-b8a3-c3e50b01ff02.jpg" />for every<img src="7-5300558\384340f7-9ea2-48ac-b115-ba1312580f69.jpg" />.</p><p>Similarly, the interior operator may also be used to characterize open sets. A set <img src="7-5300558\9137c648-ae1b-4623-8660-9ee1fc19d505.jpg" /> is open if<img src="7-5300558\68b9c5f3-547a-4363-8ce3-2e2434a9ac5e.jpg" />.</p><p>A Cech fuzzy closure operator (or CF-closure operator) on a set <img src="7-5300558\5e91e712-5529-4fc7-9cf7-cce441a2b0c9.jpg" /> is a function <img src="7-5300558\9475dd19-c5f5-48cf-aecd-1bca98364a47.jpg" /> satisfying the following three axioms;</p><p>1) <img src="7-5300558\682c43d8-6889-41ea-832d-bd5d027724e4.jpg" />constant.</p><p>2) <img src="7-5300558\8cf032cd-3a06-40ac-948f-1e891e25ca6c.jpg" />for every<img src="7-5300558\e95dbd46-285d-4f36-96f4-be022307d755.jpg" />.</p><p>3) <img src="7-5300558\d6d8a9a2-7e4f-4094-a156-99162854f5dd.jpg" />for every<img src="7-5300558\60a6c134-7915-4daf-a20c-02bad1b85ae3.jpg" />.</p><p>The pair <img src="7-5300558\d77b0ffc-1154-41ae-81f7-771d86eb1b74.jpg" /> is called a fuzzy closure space or fcs. Clearly these axioms can easily be seen to be similar to the Kuratowski axioms in [<xref ref-type="bibr" rid="scirp.38559-ref6">6</xref>].</p></sec></sec><sec id="s3"><title>3. Results</title><p>The following are the main results of this work.</p><sec id="s3_1"><title>3.1. Fuzzy Isotone Space</title><p>A fuzzy isotone closure operator on a set <img src="7-5300558\80643d49-4703-4af1-8ff7-7c08294e8b58.jpg" /> is a function <img src="7-5300558\701d6446-e598-4e94-8d41-7b45092ec125.jpg" /> satisfying the following two axioms;</p><p>1) <img src="7-5300558\8395b1cd-a898-42e4-8340-f8da9c498883.jpg" />constant.</p><p>2) For every<img src="7-5300558\29c364da-3554-4899-b658-77b8c16303d6.jpg" />,<img src="7-5300558\89d0bd0c-bd54-4284-a023-70677a10f498.jpg" />.</p><p>The pair <img src="7-5300558\be1f9a38-bb45-44aa-b010-4d198868dcb6.jpg" /> is called a fuzzy isotone space.</p></sec><sec id="s3_2"><title>3.2. Semi-Separated and Separated Fuzzy Sets</title><p>We would like to modify the definitions of semi-separated and separated sets in order to have their equivalent characterization on fuzzy isotone spaces. This will facilitate the definition of complete normality on fuzzy isotone spaces.</p><p>In a fuzzy isotonespace<img src="7-5300558\5ea5dee7-f3c6-4999-95b1-b53389936fed.jpg" />, two fuzzy subsets <img src="7-5300558\2a4243fc-a98e-4fe1-9754-28ab573aca66.jpg" /> and <img src="7-5300558\83eceeaa-cade-4a4c-9f89-48a5739fbf85.jpg" /> are called semi-separated if</p><p><img src="7-5300558\d5e1a440-48bb-47e7-b4c2-fc9bd132e3c4.jpg" />.</p><p>The fuzzy subsets <img src="7-5300558\8afe591e-02b9-4173-bac5-2bd9ad17a34b.jpg" /> and <img src="7-5300558\92a785fa-fc5b-4434-b488-81c7f7f4ad54.jpg" /> are separated if there exists open fuzzy sets<img src="7-5300558\eb25285c-952c-4805-9655-8227aea19716.jpg" />, V with <img src="7-5300558\60dc9041-5564-4422-bb61-1c7a84d19108.jpg" /> and <img src="7-5300558\547c8b3a-e4c6-4d8b-aad9-1d3b31bcd16e.jpg" /> such that<img src="7-5300558\d01c3ec7-5f36-4c25-a4dd-1ea68c979700.jpg" />. The openness of fuzzy sets on <img src="7-5300558\392f710d-e32b-4cd8-bdaa-b301586a6516.jpg" /> is defined using the dual of the closure operator, i.e the interior operator.</p><sec id="s3_2_1"><title>Lemma</title><p>Let<img src="7-5300558\573a4f94-a5b4-45aa-9967-8c5e1938863f.jpg" />. Then <img src="7-5300558\d59a5acf-b912-4003-9181-e1396dcebaba.jpg" /> and <img src="7-5300558\7a5f5bc0-164d-4128-8c2c-d1986dbd4402.jpg" /> are semi-separated in <img src="7-5300558\b223acbf-fc73-415b-8f07-a8acd2248f11.jpg" /> if and only if <img src="7-5300558\ae5777d5-511a-439b-ad4b-dd93654669f1.jpg" /> and <img src="7-5300558\98a1f725-40e3-4a20-91f2-408e776ad486.jpg" /> are semi-separated in<img src="7-5300558\30c1c941-5fd9-4c87-8579-6075102e049c.jpg" />, where <img src="7-5300558\f34581f9-95b6-4a53-a564-22faa4ce302a.jpg" /> is the relativization of <img src="7-5300558\2f528872-7114-492b-bc6d-c5d0748e7bfc.jpg" /> into<img src="7-5300558\d9e562d3-f75c-4907-afa2-67ff2dbccb8e.jpg" />.</p></sec><sec id="s3_2_2"><title>Proof</title><p>Let <img src="7-5300558\0ed0ebc9-ad7e-41e1-8726-3a219bf8e6df.jpg" /> be a fuzzy isotone space and <img src="7-5300558\b215083c-59e7-4d38-899c-69f1c8ce7e20.jpg" /> be semi-separated fuzzy sets in<img src="7-5300558\695039a2-80d4-4634-b991-8bbf1982c43e.jpg" />. Then</p><p><img src="7-5300558\fc8ec203-1f8b-43e4-b185-774819c78dee.jpg" />.</p><p>But <img src="7-5300558\67d3aff9-7d8c-4465-a5f6-7a9f181ffe96.jpg" /> hence</p><p><img src="7-5300558\01d3f9ad-5e68-46bd-8668-71d78fab51c0.jpg" />.</p><p>Similarly, <img src="7-5300558\5bd0a8e6-cd68-4d9f-98b1-ec1ebb23f65e.jpg" />hence</p><p><img src="7-5300558\d6a4a472-4ad2-4b17-9498-246836b6eefb.jpg" /></p><p>Therefore, <img src="7-5300558\0756ca70-861e-4468-a1ee-b8fb99a6de02.jpg" />and <img src="7-5300558\6c489471-3eb9-4674-804c-359246fb50e1.jpg" /> are semi-separated in<img src="7-5300558\fa8885e0-6d63-463a-b88c-413c9fa4bda2.jpg" />.</p><p>Conversely, let <img src="7-5300558\23dbf694-a2f9-4b35-86af-aff5911232af.jpg" /> be a subspace of the fuzzy isotone space <img src="7-5300558\41df0462-1901-42d9-8482-632a1c57f409.jpg" /> and <img src="7-5300558\292d89f1-75b1-4d61-8e9a-586342f70148.jpg" /> and <img src="7-5300558\7cd6f873-cf05-4a9b-9a5e-eb144a5a9e11.jpg" /> are semi-separated in<img src="7-5300558\30b52dc3-2876-452d-9d64-712c5a76ba6f.jpg" />. Of course <img src="7-5300558\75753309-f45c-47f6-a16e-e43ad6adbb22.jpg" /> and</p><p><img src="7-5300558\72f5975b-417f-487d-bd6d-6941c44ce6c0.jpg" />.</p><p><img src="7-5300558\dca74dd7-66de-4cc2-b7d1-400c101d977a.jpg" />.</p><p>Similarly,</p><p><img src="7-5300558\a49f1482-aab2-4f8a-99fa-2f7ba3e21728.jpg" />.</p><p>Thus <img src="7-5300558\2e8e02d6-e73f-4e48-9a5f-805807ff9cbd.jpg" /> and <img src="7-5300558\9da8c25a-32e8-408e-8049-0de2e700303d.jpg" /> are semi-separated in<img src="7-5300558\529691db-fa41-41e6-a164-ffda2c7c940e.jpg" />.</p></sec></sec><sec id="s3_3"><title>3.3. Normality</title><p>A fuzzy isotone space <img src="7-5300558\8e58a66b-e046-4f93-a629-8bad7cb7ed3e.jpg" /> is normal if for every nonempty pair of fuzzy sets <img src="7-5300558\9da3db72-8298-48e7-8e38-eb92b8bbcd14.jpg" /> and <img src="7-5300558\5ca5dab6-afbe-4042-a735-ca9b2b511176.jpg" /> in <img src="7-5300558\da0f8585-a63c-4d70-8b1d-2d5ad1062831.jpg" /> such that <img src="7-5300558\9a2acf62-f807-4eef-bdf0-24cf4bdbc074.jpg" /> there exists a fuzzyopen set <img src="7-5300558\6f5d0614-62d0-488e-81f1-d55c36d99c43.jpg" /> such that <img src="7-5300558\b8d3d922-4f6d-4ab6-b863-9872f641f916.jpg" /> and<img src="7-5300558\04e7e18f-e9f7-43b6-ac97-0b653a4632fd.jpg" />.</p><p>Normality may be characterized via the existence of a fuzzy continuous real-valued function just as in topological spaces.</p><p>Let <img src="7-5300558\5c3a3075-7a01-43c9-b0f1-1b8182d2e580.jpg" /> be a normal fuzzy isotone space. Then for each pair of disjoint fuzzy subsets <img src="7-5300558\bd07ce93-9b5b-4505-8ec0-0de412dea55f.jpg" /> and Ф, there exists a fuzzy continuous function <img src="7-5300558\44f7f7b2-a280-4e0d-b336-1d60caf21e23.jpg" /> such that <img src="7-5300558\5c40dffc-883c-4e02-a462-c2176932bbeb.jpg" /> on <img src="7-5300558\e1ee7377-5600-467e-8b21-00be1b78a3f1.jpg" /> and <img src="7-5300558\210b5df5-3c80-4605-9488-1c70c6966f76.jpg" /> on<img src="7-5300558\f07703d3-15c2-4309-8ff7-bf6df06f7dab.jpg" />. Clearly, this characterization is analogous to the definition of normality via the existence of an Urysohn function on a normal topological space.</p></sec><sec id="s3_4"><title>3.4. Complete Normality</title><p>A fuzzy isotone space <img src="7-5300558\38c535e5-9477-4561-ac4e-347190708eed.jpg" /> is said to be completely normal if every fuzzy subspace of <img src="7-5300558\c7f450c2-4cc1-4572-bf2c-576fa557bb55.jpg" /> is normal.</p><sec id="s3_4_1"><title>Theorem</title><p>A fuzzy isotone space <img src="7-5300558\514ad390-b194-4bcf-98bb-abe3f5e44cec.jpg" /> is completely normal if and only if for every pair <img src="7-5300558\f327dd7e-29c6-4e9e-bee3-b13f283dd2e6.jpg" /> and <img src="7-5300558\474dcb1a-7ce3-4428-bfe5-1d0ed3df51d9.jpg" /> of fuzzy subsets with <img src="7-5300558\348c2916-9b20-4911-bfd6-f258f2fc5ed4.jpg" /> then there exists disjoint fuzzy sets <img src="7-5300558\fbf6f562-2e78-4a06-a428-a716c8163380.jpg" /> and<img src="7-5300558\a4e6d1f4-6094-4787-bb7e-5d98091a49d5.jpg" />.</p></sec><sec id="s3_4_2"><title>Proof</title><p>Let <img src="7-5300558\2d83fe11-c7c2-4c7b-b0be-955ee37c8e05.jpg" /> be completely normal and <img src="7-5300558\ffb777a2-7648-4af1-bf8e-c458d8d05c18.jpg" /> be fuzzy sets with<img src="7-5300558\a4ce43a2-2797-4fb9-a7a5-807c0c20b5d7.jpg" />. Denote<img src="7-5300558\4f8414dc-4316-4974-876a-0a3174f23783.jpg" />, a subspace of <img src="7-5300558\4e873519-a9d7-40a3-9826-5c596e2c5a31.jpg" /> by<img src="7-5300558\20db4c91-b507-4ce4-8fe9-3d9c9d4f8e0c.jpg" />. Then <img src="7-5300558\ccea297b-2105-4cb8-a38c-0f35166bc7ef.jpg" /> since</p><p><img src="7-5300558\c46fdabd-52a8-48e4-9f25-f6e756889bd2.jpg" />.</p><p>Similarly,</p><p><img src="7-5300558\4b5d7917-ef57-4f82-91aa-e09dea476a37.jpg" />.</p><p>Clearly <img src="7-5300558\5c9da8c2-cf55-4c38-90b2-843a9ab21d34.jpg" /> and <img src="7-5300558\8c7f8785-895d-4c84-b873-db164ad57bee.jpg" /> are closed sets in <img src="7-5300558\36e7c92c-4170-44d3-b112-6c1a68131ade.jpg" /></p><p>such that<img src="7-5300558\80eee0b5-8b8e-4f11-872b-742e1f82e277.jpg" />. Notice</p><p><img src="7-5300558\262fbb25-d5dd-455b-95bb-459534ac68df.jpg" />.</p><p>Therefore, since <img src="7-5300558\0d881d6e-3cc1-4a47-ba57-78f9457954af.jpg" /> is completely normal, then <img src="7-5300558\d108f198-d9e7-4e11-8d27-fd70f212014d.jpg" /> is normal and hence there exists <img src="7-5300558\2fc105b7-ea31-4f3d-aafa-16d75a694c4f.jpg" /> and <img src="7-5300558\e07b5d11-9c26-4ec5-a7cb-85132e14e6ba.jpg" /> in <img src="7-5300558\f8eba946-f835-4964-9b66-715e323c9b85.jpg" /> such that <img src="7-5300558\bd86498f-3953-426d-8f33-58227771c1e4.jpg" /> and<img src="7-5300558\46d6df50-f475-476c-8202-f0c358db2a20.jpg" />.</p><p>Conversely, let <img src="7-5300558\8cdd2c53-3b0b-4d98-a2f7-bbbf9954c35c.jpg" /> be a subspace of <img src="7-5300558\a1f6dfda-3756-41c2-a69f-baf8c1e00b66.jpg" /> and <img src="7-5300558\be67c240-717a-4141-868a-e96740927d59.jpg" /> such that <img src="7-5300558\288166eb-d4d3-4de9-93d2-e9f0896a9361.jpg" /> and <img src="7-5300558\50d86cfb-25c0-4078-b382-a833a40a29c5.jpg" />with<img src="7-5300558\cc561ef5-8b3d-44f7-bfd3-6c00b3575d34.jpg" />. Then<img src="7-5300558\0c4f6dfe-8349-41f7-afef-b9e29cadbc10.jpg" />. Similarly,<img src="7-5300558\eab2c222-9b42-4c39-a038-810999e68190.jpg" />. Therefore, by the hypothesis of the theorem, there exists disjoint fuzzy sets</p><p><img src="7-5300558\61a12947-a2b5-4bdc-9126-305874e0d05f.jpg" />and<img src="7-5300558\d9e4aed3-1fc5-48c4-984a-1a0b56ea3c81.jpg" />.</p><p>The fuzzy sets <img src="7-5300558\6437cb4d-5584-446a-9002-2fc562f086d2.jpg" /> and <img src="7-5300558\91294010-db73-4be3-8bc3-0133d3d1913d.jpg" /> are disjoint and contained in <img src="7-5300558\073e9ebd-5ec9-465d-bf85-c8d053141725.jpg" /> and<img src="7-5300558\e30d3d74-e9e1-425f-b8f9-def826a1f292.jpg" />. Hence <img src="7-5300558\a2a3c987-f99a-44b3-a22d-b6a55bf2cefe.jpg" /> is normal and <img src="7-5300558\35e53a91-61ef-45f4-9596-876a6fbd9774.jpg" /> is therefore completely normal.</p></sec></sec><sec id="s3_5"><title>3.5. Perfect Normality</title><p>Perfect normality has not been defined in fuzzy closure spaces. Therefore, different characterizations are given under this section as modifications from topological spaces. A few basic concepts have to be carried over from general topological spaces before any meaningful definition of perfectly normal isotonic spaces can be given.</p><sec id="s3_5_1"><title>3.5.1. Preliminary Definitions</title><p>It is known form point-set topology and from fuzzy topology that though the countable union of closed sets need not be closed, and the countable intersection of open sets need not be open, such sets occur frequently in analysis. The occurrence of such sets guarantees perfect normality on a space<img src="7-5300558\1e44c2dd-531c-4edf-a51e-cc8c8a70b938.jpg" />.</p><p>A fuzzy set <img src="7-5300558\fb759879-b70b-41ff-98c8-b3aa7fe50fcb.jpg" /> is called a <img src="7-5300558\a9ce2e52-683c-4bf6-945e-112403fc9943.jpg" />-set if and only if</p><p><img src="7-5300558\b6f92e9e-573f-48a4-97da-06fa8c1abf50.jpg" />where<img src="7-5300558\bfe1eeb5-9a33-452b-b452-59e0abffe583.jpg" />. A set <img src="7-5300558\03d835ac-3e84-47d6-8629-b30b5e9523d4.jpg" /> is called an <img src="7-5300558\f08b7214-d9e0-4ee9-b893-a52aac596b2e.jpg" />-set if</p><p><img src="7-5300558\1cc0549b-50e6-41a3-9163-f7d080df7304.jpg" /></p><p>where<img src="7-5300558\2ab5d3a5-06b0-48ab-913b-1129f19f770a.jpg" />.</p><p>A fuzzy isotone space <img src="7-5300558\ebdd1327-8d1f-4414-8578-4984cb6ae87d.jpg" /> is perfectly normal if <img src="7-5300558\16aac290-6fa8-4e75-9e86-bcae99df2971.jpg" /> is normal and for every fuzzy subset <img src="7-5300558\b1acdeb3-964d-44b3-b052-5a13de63c64c.jpg" /> of<img src="7-5300558\ddbcead0-837c-4fa8-8f1f-95c3ccd345e5.jpg" />, <img src="7-5300558\1f857d6e-6fcf-431f-9c0d-f632d7f5be0c.jpg" />is a <img src="7-5300558\db30fc0c-f4ca-480d-b9c3-dc103cd9c5fb.jpg" />-set. That is for every closed fuzzy set <img src="7-5300558\5231c096-0c08-414c-9486-911334ce39de.jpg" /> in<img src="7-5300558\209278b9-1d85-4c04-b3b1-688ee49ae527.jpg" />,<img src="7-5300558\2b27c063-0ce3-42ba-a6ab-1a8718c7b73e.jpg" />. Equivalently, a normal isotonic space <img src="7-5300558\b87ae70d-5d6b-48e5-be88-a61d0ed39020.jpg" /> is perfectly normal if every open fuzysubset of <img src="7-5300558\6db5cb1d-c83f-4b54-bd7d-0833a667e893.jpg" /> is an <img src="7-5300558\d0dd3b52-e828-4aea-9505-9a0b5cc6ec3c.jpg" />-set. That is, for every fuzzy set<img src="7-5300558\0af9b19a-5391-4ddb-88c5-18fb6866bbb6.jpg" />, then</p><p><img src="7-5300558\2d2a478d-b8df-4a3d-a5b4-1c3eabf94b96.jpg" />.</p></sec><sec id="s3_5_2"><title>3.5.2. Theorem</title><p>The fuzzy isotone space <img src="7-5300558\c76f7059-65ce-4a1b-b3d5-dc628515c096.jpg" /> is perfectly normal if for every <img src="7-5300558\0d8d2162-4590-4581-a763-0d91916b5d23.jpg" /> such that<img src="7-5300558\e8dea492-6d64-4996-b437-5bfd30e4e50e.jpg" />, <img src="7-5300558\64eb3434-cb60-4952-bb12-5fc5d1b0b6ca.jpg" />and<img src="7-5300558\bed49689-1fbb-4310-9677-e9dc5ea14426.jpg" />, then <img src="7-5300558\2a651cae-5664-4ae5-a86a-c45d1394abaf.jpg" /> a fuzzy continuous function <img src="7-5300558\865e576a-d924-4baf-afdf-8a6e38aff6a8.jpg" /> that precisely separates <img src="7-5300558\7189cb70-d728-4550-96ca-69c3e42e4a1b.jpg" /> and<img src="7-5300558\b052cb4c-e068-4988-99a2-d4a0b8ee7392.jpg" />. That is <img src="7-5300558\2c960206-15cd-4f55-98e5-839e894ac3ec.jpg" /> and <img src="7-5300558\c848280b-3260-449f-baeb-0ae3b79a5412.jpg" /></p></sec><sec id="s3_5_3"><title>3.5.3. Theorem</title><p>Every perfectly normal fuzzy isotone space <img src="7-5300558\7141cb04-fb84-4787-a023-eb77dafb4874.jpg" /> is completely normal.</p></sec><sec id="s3_5_4"><title>Proof</title><p>Since a fuzzy isotone space is completely normal if and only if every subspace is normal, then in order to show that perfect normality implies complete normality, it suffices to show the heredity of perfect normality. Let <img src="7-5300558\5f265d50-4d23-409f-81df-13e6b93b8ca0.jpg" /> be perfectly normal fuzzy isotone space. Then for every closed fuzzy set <img src="7-5300558\67383923-e702-4ea7-8855-52633af4af0f.jpg" /> there exists a fuzzy continuous function <img src="7-5300558\2e553ae7-dc1b-4717-b1c1-b149a88b86a2.jpg" /> such that<img src="7-5300558\cd3389ce-5cec-411d-bc73-02ef31d2422c.jpg" />.</p><p>Let <img src="7-5300558\33da37ab-d951-40b3-8c76-7a062e5d8db1.jpg" /> be a subspace of <img src="7-5300558\e2fd9392-4e10-47d2-9280-38a6d03a2464.jpg" /> and <img src="7-5300558\792bcc77-9121-4af5-9cef-92abc33eb81b.jpg" /> be closed. Then there exists a fuzzy closed set <img src="7-5300558\88b6a4c5-c1a0-4fe6-a3b2-acf600819b8c.jpg" /> such that<img src="7-5300558\bc3077f0-8a08-4049-b1bc-53f49ff4eb9a.jpg" />. Since <img src="7-5300558\64aa665b-d328-4749-bd70-0f20582cb7eb.jpg" /> is closed in<img src="7-5300558\1c145399-d0bb-4513-a113-237caf44d8c6.jpg" />, then there exists a fuzzy continuous function <img src="7-5300558\bede8f89-1a48-4529-8b10-799635946c74.jpg" /></p><p>such that<img src="7-5300558\6b8a3975-6ea6-47fe-ad01-0781f367080d.jpg" />. But <img src="7-5300558\9b91a040-988f-4bfb-a707-bd62ff1b997b.jpg" /> is also fuzzy continuous and<img src="7-5300558\dbfb9044-e34d-45da-b201-c77f613c6f30.jpg" />. Therefore <img src="7-5300558\34de912d-51b2-4cd4-9b99-067981f0d20a.jpg" /> is perfectly normal and hence normal. This implies that X is completely normal and hence perfect normality implies complete normality.</p></sec></sec></sec><sec id="s4"><title>4. Conclusion</title><p>The variants of normality naturally extend to the class of fuzzy isotone spaces and to the fuzzy closure spaces generally. Therefore, on fuzzy isotone spaces, perfect normality implies complete normality which implies normality.</p></sec><sec id="s5"><title>REFERENCES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.38559-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">L. A. Zadeh, “Fuzzy Sets,” Information and Control, Vol. 8, No. 3, 1965, pp. 338-353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X</mixed-citation></ref><ref id="scirp.38559-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">C. L. Chang, “Fuzzy Topological Spaces,” Journal of Mathematical Analysis and Applications, Vol. 24, No. 1, 1968, pp. 265-270. http://dx.doi.org/10.1016/0022-247X(68)90057-7</mixed-citation></ref><ref id="scirp.38559-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">R. Lowen, “Fuzzy Topological Spaces and Fuzzy Compactness,” Journal of Mathematical Analysis and Applications, Vol. 56, No. 3, 1976, pp. 621-633. http://dx.doi.org/10.1016/0022-247X(76)90029-9</mixed-citation></ref><ref id="scirp.38559-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">T. E. Gantner, R. C. Steinlage and H. R. Warren, “Compactness in Fuzzy Topological Spaces,” Journal of Mathematical Analysis and Applications, Vol. 62, No. 3, 1978, pp. 547-562. http://dx.doi.org/10.1016/0022-247X(78)90148-8</mixed-citation></ref><ref id="scirp.38559-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">A. S. Mashhour andM. H. Ghanim, “Fuzzy Closure Spaces,” Journal of Mathematical Analysis and Applications, Vol. 106, No. 3, 1985, pp. 154-170. http://dx.doi.org/10.1016/0022-247X(85)90138-6</mixed-citation></ref><ref id="scirp.38559-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">W. J. Thron, “What Results Are Valid on Cech-Closure Spaces,” Topology Proceedings, Vol. 6, 1981, pp. 135-158.</mixed-citation></ref></ref-list></back></article>