Journal ArticleDOI
A method using fuzzy mathematics to solve the vectormaximum problem
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TLDR
A new solution of the vectormaximum problem will be defined in terms of fuzzy mathematics and may be called the fuzzy solution, which will overcome difficulties which appear if otherwise solved by nonfuzzy mathematics.About:
This article is published in Fuzzy Sets and Systems.The article was published on 1983-01-01. It has received 38 citations till now. The article focuses on the topics: Fuzzy mathematics & Fuzzy set operations.read more
Citations
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Fuzzy multiple criteria decision making: recent developments
Christer Carlsson,Robert Fullér +1 more
TL;DR: The most important methods are reviewed and a novel approach — interdependence in MCDM — is introduced.
Journal ArticleDOI
Fuzzy optimization: an appraisal
TL;DR: A general look at core ideas that make up the burgeoning body of Fuzzy mathematical programming emphasizing the methodological view is taken.
Journal ArticleDOI
Priority structure in fuzzy goal programming
TL;DR: This paper introduces priority structure in Fuzzy Goal programming and utilizes the lexicographic order of Goal Programming and yields an efficient computational algorithm for solving FGP.
Journal ArticleDOI
Fuzzy optimization model for water quality management of a river system
K. Sasikumar,Pradeep Mujumdar +1 more
TL;DR: In this paper, a grey fuzzy optimization model is developed for water quality management of river system to address uncertainty involved in fixing the membership functions for different goals of Pollution Control Agency (PCA) and dischargers.
Journal ArticleDOI
A fuzzy risk approach for seasonal water quality management of a river system.
Pradeep Mujumdar,K. Sasikumar +1 more
TL;DR: In this paper, a fuzzy optimization model is developed for the seasonal water quality management of river systems, which addresses the uncertainty in a water quality system in a fuzzy probability framework, treating the occurrence of low water quality is treated as a fuzzy event.
References
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Journal ArticleDOI
Fuzzy programming and linear programming with several objective functions
TL;DR: It is shown that solutions obtained by fuzzy linear programming are always efficient solutions and the consequences of using different ways of combining individual objective functions in order to determine an “optimal” compromise solution are shown.