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Development and Implementation on a Fuzzy Multiple Objective Decision Support System

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

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Abstract

A fuzzy-goal optimization-based method has been developed for solving fuzzy multiple objective linear programming (FMOLP) problems where fuzzy parameters in both objective functions and constraints and fuzzy goals of objectives can be in any form of membership function. Based on the method, a fuzzy multiple objective decision support system (FMODSS) is developed. This paper focuses on the development and use of FMODSS in detail. An example is presented for demonstrating how to solve a FMOLP problem by using the FMODSS interactively.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia

    Fengjie Wu, Jie Lu & Guangquan Zhang

Authors
  1. Fengjie Wu
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  2. Jie Lu
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  3. Guangquan Zhang
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Wu, F., Lu, J., Zhang, G. (2005). Development and Implementation on a Fuzzy Multiple Objective Decision Support System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_38

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  • DOI: https://doi.org/10.1007/11552413_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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