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Aliev, R.A. and Tserkovny, A. (2011) Systemic Approach to Fuzzy Logic Formalization for Approximate Reasoning. Information Sciences, 181, 1045-1059.
https://doi.org/10.1016/j.ins.2010.11.021

has been cited by the following article:

• TITLE: Some Considerations about Fuzzy Logic Based Decision Making by Autonomous Intelligent Actor

  AUTHORS: Alex Tserkovny

  KEYWORDS: Fuzzy Logic, Implication, Conjunction, Disjunction, Fuzzy Predicate, Degree of Indiscernibility, Discernibility Measure, Extended Lines Sameness, AIA Orientation Principles

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.15 No.2, February 25, 2022

  ABSTRACT: The article presents an approach toward an implementation of a fuzzy logic-based decision-making process by Autonomous Intelligent Actor (AIA) (© A. Tserkovny), when an input information is defined for its “strategic targeting” by a human operator in terms of a fuzzy incident geometry, whereas its “tactical” behavior (a navigation in space) is directed by fuzzy conditional inference rules. For implementing both elements of AIA decision-making a fuzzy logic [1] for formal geometric reasoning with extended objects is used. This fuzzy logic based fuzzification of axioms of an incidence geometry and a predicate apparatus [2] for AIA space orientation are also presented. The approach, offered in the article, extends predicates of a counter positioning of two objects and their mutual navigation into their fuzzy counterparts. The latter allows AIA to make certain “tactical” decisions.