Journal ArticleDOI
Bi-criteria multi facility location problem in fuzzy environment
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In this article, a fuzzy goal programming model for locating multiple new facilities on a plane bounded by a convex polygon under the criteria: (1) minimize the sum of all the transportation costs and (2) minimise the maximum distances from the facilities to the demand points.About:
This article is published in Fuzzy Sets and Systems.The article was published on 1993-06-10. It has received 43 citations till now. The article focuses on the topics: Convex polygon & Facility location problem.read more
Citations
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Book ChapterDOI
MCDM Location Problems
TL;DR: In this chapter, a broad overview of the most representative multicriteria location problems as well as of themost relevant achievements in this field are provided, indicating the relationship between them whenever possible.
Journal ArticleDOI
Developing a location–inventory model under fuzzy environment
Hassan Shavandi,Bita Bozorgi +1 more
TL;DR: In this article, the authors considered the demand as a fuzzy variable and formulated the problem using credibility theory in order to locate distribution centers (DCs) as well as determining inventory levels in DCs.
Journal ArticleDOI
The capacitated facility location-allocation problem under uncertain environment
TL;DR: The capacitated FLA problem under small sample or no-sample cases is considered and an uncertain expected value model based on uncertain measure is established to solve this model, the simplex algorithm, Monte Carlo simulation and a genetic algorithm are integrated to produce a hybrid intelligent algorithm.
Journal Article
A New Hybrid Algorithm to Optimize Stochastic-fuzzy Capacitated Multi-Facility Location-allocation Problem
TL;DR: This paper proposes a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer's locations and fuzzy customer's demands under the Hurwicz criterion, formulated as αcost minimization model according to different criteria.
Journal ArticleDOI
Multi-objective multi-facility green manufacturing closed-loop supply chain under uncertain environment
TL;DR: In this paper, a multi-objective multi-facility model of green closed-loop supply chain (GCLSC) under uncertain environment is presented, which aims to maximize the total profit of the GCLSC, satisfaction of demand, the satisfactions of the customers and getting to the proper cost of the consumers, distribution centers and recursive centers.
References
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Journal ArticleDOI
Information Theory and Statistical Mechanics. II
TL;DR: In this article, the authors consider statistical mechanics as a form of statistical inference rather than as a physical theory, and show that the usual computational rules, starting with the determination of the partition function, are an immediate consequence of the maximum-entropy principle.
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.
Journal ArticleDOI
Proper efficiency and the theory of vector maximization
TL;DR: In this paper, the concept of proper efficiency was introduced to eliminate efficient points of a certain anomalous nature in the problem of vector maximization, which is related in spirit to the notion of "proper" efficiency introduced by Kuhn and Tucker in their celebrated paper of 1950.
Journal ArticleDOI
Interactive approach for multi-criterion optimization, with an application to the operation of an academic department.
TL;DR: An interactive mathematical programming approach to multi-criterion optimization is developed, and then illustrated by an application to the aggregated operating problem of an academic department.
Journal ArticleDOI
On Fuzzy-Mathematical Programming
TL;DR: The main concern is with the application of the theory of fuzzy sets to decision problems involving fuzzy goals and strategies, etc., as defined by R. E. Bellman and L. A. Zadeh.