Journal ArticleDOI
Fuzzy programming and linear programming with several objective functions
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TLDR
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.About:
This article is published in Fuzzy Sets and Systems.The article was published on 1978-01-01. It has received 3357 citations till now. The article focuses on the topics: Linear-fractional programming & Inductive programming.read more
Citations
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Multi-site production planning integrating procurement and distribution plans in multi-echelon supply chains: an interactive fuzzy goal programming approach
Seyed Ali Torabi,Elkafi Hassini +1 more
TL;DR: A multi-objective, multi-site production planning model integrating procurement and distribution plans in a multi-echelon supply chain network with multiple suppliers, multiple manufacturing plants and multiple distribution centers is proposed in this paper.
Journal ArticleDOI
A fuzzy multiple objective decision support model for energy-economy planning
TL;DR: This approach is illustrated to tackle uncertainty and imprecision associated with the coefficients of an input–output energy-economy planning model, aimed at providing decision support to decision makers in the study of the interactions between the energy system and the economy on a national level.
Journal ArticleDOI
Multiple criteria decision making: the case for interdependence
Christer Carlsson,Robert Fullér +1 more
TL;DR: It is the intention in this paper to introduce measures of interdependences between the objectives, in order to provide for a better understanding of the decision problem, and to find effective and more correct solutions to MCDM problems.
Journal ArticleDOI
A mathematical programming framework for energy planning in services’ sector buildings under uncertainty in load demand: The case of a hospital in Athens
TL;DR: In this paper, the authors provide an integrated modeling and optimization framework for energy planning in large consumers of the services' sector based on mathematical programming. But the power demand is vaguely known and the underlying uncertainty is modeled using elements from fuzzy set theory.
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A new multi-criteria model based on interval type-2 fuzzy sets and EDAS method for supplier evaluation and order allocation with environmental considerations
Mehdi Keshavarz Ghorabaee,Maghsoud Amiri,Edmundas Kazimieras Zavadskas,Zenonas Turskis,Jurgita Antucheviciene +4 more
TL;DR: In this article, a new integrated model is proposed for supplier evaluation and order allocation which considers both environmental and economic factors, and a sensitivity analysis is made to examine the effect of weighting environmental criteria on total purchasing cost and quantity of order from each supplier.
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.
Book
Management Models and Industrial Applications of Linear Programming
TL;DR: In place of a survey or evaluation of industrial studies, two broad issues which are relevant to all such applications will be discussed, including the use of linear programming models as guides to data collection and analysis and prognosis of fruitful areas of additional research, especially those which appear to have been opened by industrial applications.
Journal ArticleDOI
Linear programming with multiple objective functions: Step method (stem)
TL;DR: In this man-model symbiosis, phases of computation alternate with phases of decision, which allows the decision-maker to “learn” to recognize good solutions and the relative importance of the objectives.
Journal ArticleDOI
Description and optimization of fuzzy systems
TL;DR: Fuzzy set theory is applied to fuzzy linear programming problems and it is shown how fuzzylinear programming problems can be solved without increasing the computational effort.
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.