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Interactive Decision Making for Multiobjective Linear Programming Problems with Fuzzy Parameters Based on a Solution Concept Incorporating Fuzzy Goals

Authors: Masatoshi Sakawa; Hitoshi Yano;

Interactive Decision Making for Multiobjective Linear Programming Problems with Fuzzy Parameters Based on a Solution Concept Incorporating Fuzzy Goals

Abstract

In this paper, we focus on multiobjective linear programming problems with fuzzy parameters and introduce a new solution concept by assuming that the decision maker may have fuzzy goals for each of the objective functions with fuzzy parameters. By introducing the decision maker’s satisficing level for each of the objective functions via the concept of possibility and necessity, we define a new solution concept for multiobjective linear programming problems with fuzzy parameters. Furthermore, we propose an interactive decision making method to derive the satisficing solution of the decision maker from among the proposed solution set. Then the proposed method is illustrated by a numerical example.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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