Assessment and linear programming under fuzzy conditions

Journal Title: Journal of Fuzzy Extension & Applications - Year 2020, Vol 1, Issue 3

Abstract

The present work focuses on two directions. First, a new fuzzy method using triangular / trapezoidal fuzzy numbers as tools is developed for evaluating a group’s mean performance, when qualitative grades instead of numerical scores are used for assessing its members’ individual performance. Second, a new technique is applied for solving Linear Programming problems with fuzzy coefficients. Examples are presented on student and basket-ball player assessment and on real life problems involving Linear Programming under fuzzy conditions to illustrate the applicability of our results in practice. A discussion follows on the perspectives of future research on the subject and the article closes with the general conclusions.

Authors and Affiliations

Michael Voskoglou

Keywords

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  • EP ID EP692658
  • DOI 10.22105/JFEA.2020.253436.1024
  • Views 213
  • Downloads 0

How To Cite

Michael Voskoglou (2020). Assessment and linear programming under fuzzy conditions. Journal of Fuzzy Extension & Applications, 1(3), -. https://europub.co.uk/articles/-A-692658