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Hogg, R.V. and Tanis, E.A. (2001) Probability and Statistical Inference. 6th Edition, Prentice Hall International.

has been cited by the following article:

• TITLE: Measuring Similarity between Generalized Fuzzy Numbers Based on Standard Deviation for Fuzzy Recommendation Problems

  AUTHORS: Shi-Jay Chen

  KEYWORDS: Generalized Fuzzy Number, Standard Deviation, Similarity Measure, Fuzzy Recommendation Problems

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.14 No.1, January 29, 2026

  ABSTRACT: This study proposes a new method to measure the similarity among generalized fuzzy numbers based on a standard deviation. The properties of the proposed similarity measure are demonstrated with 44 sets of generalized fuzzy numbers applied to compare the proposed method with existing similarity measures. Comparative results indicate the proposed method is better than existing methods. Solving fuzzy recommendation problems uses the proposed similarity measure.