Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)

Fuzzy Metrics for Solving MODM Problems

Authors
Olga Grigorenko
Corresponding Author
Olga Grigorenko
Available Online 30 August 2021.
DOI
10.2991/asum.k.210827.048How to use a DOI?
Keywords
Multi-objective linear programming, Fuzzy metrics, Fuzzy relations, Multi-objective decision making, Aggregation of fuzzy metrics
Abstract

This paper presents a solution approach for multi-objective linear programming problem. We consider MOLP problem where optimization of multiple, conflicting objective functions subject to constraints is concerned. We give also comments how to deal with FMOLP problem, where the parameters are imprecisely or ambiguously known to the experts. Fuzzy approach for solving MOLP problem is one of the techniques most frequently used in the literature. We propose to involve fuzzy metrics to describe the objective functions where in ”classical” fuzzy approach the membership functions which illustrate how far the concrete point is from the solution of individual problem are studied.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Cite this article

TY  - CONF
AU  - Olga Grigorenko
PY  - 2021
DA  - 2021/08/30
TI  - Fuzzy Metrics for Solving MODM Problems
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 360
EP  - 366
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.048
DO  - 10.2991/asum.k.210827.048
ID  - Grigorenko2021
ER  -