A fuzzy multicriteria analysis approach to the optimal use of reserved land for agriculture

Deng, H and Yang, G 2005, 'A fuzzy multicriteria analysis approach to the optimal use of reserved land for agriculture' in Lecture Notes in Artificial Intelligence 3613: Fuzzy Systems and Knowledge Discovery, Springer-Verlag, Berlin, Germany, pp. 653-661.


Document type: Book Chapter
Collection: Book Chapters

Title A fuzzy multicriteria analysis approach to the optimal use of reserved land for agriculture
Author(s) Deng, H
Yang, G
Year 2005
Title of book Lecture Notes in Artificial Intelligence 3613: Fuzzy Systems and Knowledge Discovery
Publisher Springer-Verlag
Place of publication Berlin, Germany
Start page 653
End page 661
Subjects Neural, Evolutionary and Fuzzy Computation
Decision Support and Group Support Systems
Summary This paper presents a multicriteria analysis (MA) approach to solve the problem of the optimal use of reserved land for agriculture involving multiple criteria and subjective assessments. Linguistic terms approximated by fuzzy numbers are used to adequately model the subjectiveness and imprecision of the decision making process. The degree of similarity between fuzzy numbers is used to calculate the overall performance index for each alternative across all criteria based on the concept of fuzzy ideal solution. As a result, the unreliable and often computationally demanding process of comparing fuzzy utilities usually required in fuzzy MA is avoided, and effective decisions can be made. A case study in Shanghai, China is presented that shows the fuzzy MA approach developed is efficient in computation, simple and comprehensible in concept, and practical in solving this kind of problems.
Copyright notice © Springer-Verlag Berlin Heidelberg 2005
ISBN 978-3-540-28312-6
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