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Multiple Objective Decision Making in Past, Present, and Future

  • Conference paper
Multi-Objective Programming and Goal Programming

Part of the book series: Advances in Soft Computing ((AINSC,volume 21))

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Abstract

Since Kuhn and Tucker (1951) originally proposed the concept of proper noninferior solution solving nonlinear programming problems and it was later modified by Geoffrion (1967), Yu (1973) further introduce compromise solution method to cope with multicriteria decision-making problems. In addition, Charnes (1955) presented goal programming method, and Gellman and Zadeh (1970) proposed the concepts of decision-making in fuzzy environment, many distinguished work guide person study in this field. This paper review some methods concerning basic mathematical concepts of models applied on multiple objective decision making problem including fuzzy multiobjective linear programming (FMOLP), fuzzy goal programming (FGP), two-phase method, achievement function, data envelopment analysis(DEA), and De Novo Programming.

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Authors and Affiliations

  1. Institute of Management of Technology and Environmental Research Group, National Chiao Tung University, Taiwan

    Gwo-Hshiung Tzeng (Chairman)

  2. 1001 Ta-Hsuch Rd., Hsinchu 300, Taiwan

    Gwo-Hshiung Tzeng (Chairman)

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  1. Gwo-Hshiung Tzeng
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© 2003 Springer-Verlag Berlin Heidelberg

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Tzeng, GH. (2003). Multiple Objective Decision Making in Past, Present, and Future. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_7

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  • DOI: https://doi.org/10.1007/978-3-540-36510-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00653-4

  • Online ISBN: 978-3-540-36510-5

  • eBook Packages: Springer Book Archive

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