Journal ArticleDOI
Fuzzy goal programming algorithm for solving decentralized bi-level multi-objective programming problems
TLDR
This paper presents fuzzy goal programming (FGP) algorithm for solving decentralized bi-level multi-objective programming (DBL-MOP) problems with a single decision maker at the upper level and multiple decision makers at the lower level.About:
This article is published in Fuzzy Sets and Systems.The article was published on 2009-09-01. It has received 107 citations till now. The article focuses on the topics: Goal programming & Criss-cross algorithm.read more
Citations
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Journal ArticleDOI
The water-energy-food nexus and process systems engineering: A new focus
Daniel J. Garcia,Fengqi You +1 more
TL;DR: In this article, the authors highlight research challenges and identify process systems engineering research opportunities to appropriately model and optimize the water-energy-food Nexus (WEFN), and propose possible approaches to the abovementioned challenges.
Journal ArticleDOI
Energy-water nexus: Balancing the tradeoffs between two-level decision makers
TL;DR: In this article, a bi-level decision model is developed, which improves upon the existing studies by integration of bilevel programming into energy-water nexus management, and an interactive fuzzy optimization methodology is introduced to seek a satisfactory solution to meet the overall satisfaction of the two level decision makers.
Journal ArticleDOI
Solving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relation
TL;DR: The proposed approach is used to solve a real-life problem characterized as a fuzzy Multi-Objective Project Selection with Multi-Period Planning Horizon (MOPS-MPPH) and it is shown that the approach generates high-quality solutions with minimal computational efforts.
Journal ArticleDOI
Hub network design problem in the presence of disruptions
TL;DR: Two multi-objective metaheuristics based on simulated annealing and tabu search to solve the multiple allocation p-hub median problem under intentional disruptions by a bi-level model with two objective functions at the upper level and a single objective at the lower level are developed.
References
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Book
Decision-making in a fuzzy environment
Richard Bellman,Lotfi A. Zadeh +1 more
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
Multiple Criteria Optimization: Theory, Computation, and Application
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Book
Fuzzy Sets and Interactive Multiobjective Optimization
TL;DR: This monograph is the first to integrate ambiguous parameters in problem-formulation with fuzzy goals for multiobjective optimization into a unified methodology.
Journal ArticleDOI
Fuzzy approach for multi-level programming problems
TL;DR: The concepts of tolerance membership functions and multiple objective optimization are used to develop a fuzzy approach for solving multi-level programming problems with multiple decision makers in a hierarchical organization.