Fuzzy multiple criteria sustainability assessment in forest management based on an integrated AHP-TOPSIS methodology

Pinar Dursun, Tolga Kaya

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

2 Citations (Scopus)

Abstract

Sustainable forest management (SFM) is a forest management paradigm which balances diverse ecological, social, and economic aspects over space and time while considering the prosperity of forest-dependent communities. Assessing forest sustainability is a multidimensional problem which requires consideration of environmental, social, and economic factors like biological richness, water supply, visual quality, cultural features, worker safety, productivity, and economic benefits. The purpose of this study is to propose a multiple criteria sustainability evaluation methodology for forest management based on an integrated fuzzy AHP – TOPSIS approach. The fuzzy set theory is a strong tool which can deal with the uncertainty in case of subjective, incomplete, and vague information. In the proposed methodology the weights of the evaluation criteria is produced by a fuzzy AHP procedure. After determining the weights, an extension of classical TOPSIS method is used to rank the alternative SFM scenarios. A numerical example is also provided to demonstrate the computational process of the proposed method.

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
Pages438-444
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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