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International Conference on Computer and Information Science

ICIS 2018: Computer and Information Science pp 75–86Cite as

A Multicriteria Group Decision Making Approach for Evaluating Renewable Power Generation Sources

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Part of the Studies in Computational Intelligence book series (SCI,volume 791)

Abstract

This paper formulates the renewable power generation sources’ performance evaluation problem as a multicriteria group decision making problem, and presents a new multicriteria group decision making approach for effectively evaluating the performance of renewable power generation sources. The subjectiveness and imprecision of the decision making process is adequately handled by using intuitionistic fuzzy numbers. A multicriteria group decision making approach based on the TOPSIS approach and the degree of similarities are introduced for obtaining the relative degree of closeness value of each alternative on which the final decision can be made. An example is presented for demonstrating the applicability of the approach for dealing with renewable power generation sources’ performance evaluation problem.

Keywords

  • Decision makers
  • Renewable power generation sources
  • Performance evaluation
  • Multicriteria
  • Subjective assessments

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Authors and Affiliations

  1. School of Engineering & Technology, CQUniversity, Melbourne, Australia

    Santoso Wibowo & Srimannarayana Grandhi

Authors
  1. Santoso Wibowo
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  2. Srimannarayana Grandhi
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Corresponding author

Correspondence to Santoso Wibowo .

Editor information

Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mt. Pleasant, MI, USA

    Prof. Dr. Roger Lee

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Wibowo, S., Grandhi, S. (2019). A Multicriteria Group Decision Making Approach for Evaluating Renewable Power Generation Sources. In: Lee, R. (eds) Computer and Information Science. ICIS 2018. Studies in Computational Intelligence, vol 791. Springer, Cham. https://doi.org/10.1007/978-3-319-98693-7_6

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