Fuzzy geometric programming by T-norm and T-conorm fuzzy relations

Esra Bas*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the defuzzification of a primal Fuzzy Geometric Programming (FGP) model and its dual model by using t-norm and t-conorm fuzzy relations is proposed. Since a lot of problems in different fields can be represented as FGP models, the consideration of uncertainty in a geometric programming model can allow the decision maker to define a lot of problems as an FGP model more realistically.

Original languageEnglish
Title of host publicationComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010
EditorsDa Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages236-242
Number of pages7
ISBN (Electronic)9814324698, 9789814324694
DOIs
Publication statusPublished - 2010
EventComputational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010 - Emei, Chengdu, China
Duration: 2 Aug 20104 Aug 2010

Publication series

NameComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010

Conference

ConferenceComputational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010
Country/TerritoryChina
CityEmei, Chengdu
Period2/08/104/08/10

Bibliographical note

Publisher Copyright:
© 2010 by World Scientific Publishing Co. Pte. Ltd.

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