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Synthesizing Comparison Matrices of AHP Under Group Decision

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4693))

Abstract

Tackling multi-criteria decision making problems with AHP, judgements of decision makers are represented by positive reciprocal matrices with ratio judgements representing the preference of a decision maker. In this paper, we are going to propose a new method for aggregating individual ratio judgments into a group consensus. With the aggregation we proposed, the objective weight of each opinion is determined automatically in such a way that it is larger if the opinion is closer to the consensus and lesser otherwise. An iterative procedure is proposed to reach the consensus.

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© 2007 Springer-Verlag Berlin Heidelberg

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Chou, MT., Lee, HS., Chu, CW., Cheng, CY. (2007). Synthesizing Comparison Matrices of AHP Under Group Decision. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_165

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  • DOI: https://doi.org/10.1007/978-3-540-74827-4_165

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74826-7

  • Online ISBN: 978-3-540-74827-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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