Assessment and Linear Programming under Fuzzy Conditions
Artificial Intelligence
2020-11-24 v1
Abstract
A new fuzzy method is developed using triangular/trapezoidal fuzzy numbers for evaluating a group's mean performance, when qualitative grades instead of numerical scores are used for assessing its members' individual performance. Also, a new technique is developed for solving Linear Programming problems with fuzzy coefficients and everyday life applications are presented to illustrate our results.
Keywords
Cite
@article{arxiv.2011.10640,
title = {Assessment and Linear Programming under Fuzzy Conditions},
author = {Michael Voskoglou},
journal= {arXiv preprint arXiv:2011.10640},
year = {2020}
}
Comments
19 pages, 3 figures