Author/Authors
GONCE KÖÇKEN, Hale Yıldız Teknik Üniversitesi - Kimya Metalurji Fakültesi - Matematik Mühendisliği Bölümü, Turkey , TİRYAKİ, Fatma Yildiz Technical University - Faculty of Arts and Science - Department of Mathematics, Turkey
Title Of Article
USING SOME FUZZY AGGREGATION OPERATORS FOR MULTIOBJECTIVE LINEAR TRANSPORTATION PROBLEM
شماره ركورد
41640
Abstract
Using fuzzy aggregation operators, compensatory fuzzy approaches can be proposed for multi-objective problems. The variety of operators for the aggregation of objectives might be confusing and might make it difficult to decide which one to apply to the problem. For example while Zimmermann’s “min” operator provides numerical efficiency, it does not guarantee compensatory and Pareto-optimality. In this paper, we present brief information about some important compensatory fuzzy aggregation operators and then apply them to the Multi-objective Linear Transportation Problem (MOLTP) to obtain a compensatory compromise Pareto-optimal solution set. And an illustrative example is provided to compare these aggregation operators and to conclude which operator is more appropriate for the concerning problem.
From Page
399
NaturalLanguageKeyword
Transportation problem , multi , objective programming , fuzzy aggregation operators , fuzzy mathematical programming
JournalTitle
Sigma Journal Of Engineering and Natural Sciences
To Page
421
JournalTitle
Sigma Journal Of Engineering and Natural Sciences
Link To Document