On fuzzy solution of a linear optimization problem with max-aggregation function relation inequality constraints

Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.

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Vydáno v:Annals of operations research Ročník 269; číslo 1-2; s. 521 - 533
Hlavní autoři: Mesiar, Radko, Kouchakinejad, Fateme, Šipošová, Alexandra
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.10.2018
Springer
Springer Nature B.V
Témata:
Agglomeration
Business and Management
Combinatorics
Fuzzy control
Fuzzy sets
Management science
Mathematical research
Operations research
Operations Research/Decision Theory
Optimization
Optimization theory
Raota-2016
Studies
Theory of Computation
Max-aggregation function composition
Fuzzy solution
Fuzzy inequality
Linear objective function optimization
Fuzzy relation inequalities
ISSN:0254-5330, 1572-9338
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Shrnutí:Crisp constraints in the case of linear optimization problem linked to max-aggregation function composition as rule may result in unsatisfactory solution. We propose and discuss a method of getting more feasible solutions, relaxing crisp inequalities/extremes by means of fuzzy sets.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-017-2483-6