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Journal ArticleDOI

Fuzzy multiple objective programming and compromise programming with Pareto optimum

E. Stanley Lee, +1 more
- 10 Feb 1993 - 
- Vol. 53, Iss: 3, pp 275-288
TLDR
The proposed two-phase approach guarantees both nondominated and balanced solutions for solving both the crisp and the fuzzy multiple objective decision making problems.
About
This article is published in Fuzzy Sets and Systems.The article was published on 1993-02-10. It has received 248 citations till now. The article focuses on the topics: Fuzzy set operations & Fuzzy logic.

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Citations
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Book

Theory and practice of uncertain programming

Baoding Liu
TL;DR: This book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory, including numerous modeling ideas, hybrid intelligent algorithms, and applications in system reliability design, project scheduling problem, vehicle routing problem, facility location problem, and machine scheduling problem.
Journal ArticleDOI

Fuzzy multiple criteria decision making: recent developments

TL;DR: The most important methods are reviewed and a novel approach — interdependence in MCDM — is introduced.
Journal ArticleDOI

Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices

TL;DR: A two-phase fuzzy decision-making method is presented and by means of application of it to a numerical example, proved effective in providing a compromised solution in an uncertain multi-echelon supply chain network.
Journal ArticleDOI

Quantitative models for supply chain planning under uncertainty: a review

TL;DR: A review of the literature related to supply chain planning methods under uncertainty is presented in this paper, where the main objective is to provide the reader with a starting point for modelling supply chain under uncertainty applying quantitative approaches.
Journal ArticleDOI

A fuzzy approach to the multiobjective transportation problem

TL;DR: It is shown that the approach proposed can give a compromise solution that is not only non-dominated but also optimal in a certain sense and robust enough to cover a wide spectrum of methods.
References
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Book

Decision-making in a fuzzy environment

TL;DR: A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
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.
Book

Fuzzy sets, decision making, and expert systems

TL;DR: This book discusses the Logic of Decisions, Behavioral Decision Theory, and Decision Technology, as well as an Interactive Decision Support System for Fuzzy and Semi-fuzzy Multi-Objective Problems.
Journal ArticleDOI

Latent connectives in human decision making

TL;DR: The results of the experiments support the hypothesis that people often use compensatory procedures and suggest a new class of operators which varies with respect to a parameter of compensation.
Journal ArticleDOI

A parametric approach to fuzzy linear programming

TL;DR: An LP model in which the parameters are not fully known, only with some degree of precision is developed, and it is shown that the model can be parametrised in such a way that the optimal solution becomes a function of the degree of Precision.