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A Fuzzy Ahp Multi-Criteria Decision-Making Approach Applied To Combined Cooling, Heating, And Power Production Systems

Author

Listed:
  • ANA NIETO-MOROTE

    (Department of Engineering Projects, Polytechnic University of Cartagena, c/Dr. Fleming, s/n, Cartagena, Murcia 30202, Spain)

  • FRANCISCO RUZ-VILA

    (Department of Electrical Engineering, Polytechnic University of Cartagena, c/Dr. Fleming, s/n, Cartagena, Murcia 30202, Spain)

Abstract

Most of the real-world multicriteria decision-making (MCDM) problems contain a mixture of quantitative and qualitative criteria; therefore quantitative MCDM methods are inadequate for handling this type of decision problems. In this paper, a MCDM method based on the Fuzzy Sets Theory and on the Analytic Hierarchy Process (AHP) is proposed. This method incorporates a number of perspectives on how to approach the fuzzy MCDM problem, as follows: (1) combining quantitative and qualitative criteria; (2) expressing criteria pair-wise comparison in linguistic terms and performance of the alternative on each criterion in linguistic terms or exact values when criterion is qualitative or quantitative, respectively; (3) converting all the assessments into trapezoidal fuzzy numbers; (4) using the difference minimization method to calculate the local weight of criteria, employing the algebraic operations of fuzzy numbers based on the concept of α-cuts; (5) calculating the global weight of criteria and the global performance of each alternative using geometric mean and the weighted sum, respectively; (6) using the centroid method to rank the alternatives. Finally, an illustrative example on evaluation of several combined cooling, heat, and power production systems is used to demonstrate the effectiveness of the proposed methodology.

Suggested Citation

  • Ana Nieto-Morote & Francisco Ruz-Vila, 2011. "A Fuzzy Ahp Multi-Criteria Decision-Making Approach Applied To Combined Cooling, Heating, And Power Production Systems," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 497-517.
    • Handle: RePEc:wsi:ijitdm:v:10:y:2011:i:03:n:s0219622011004427
    DOI: 10.1142/S0219622011004427
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    Citations

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    Cited by:

    1. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Maghsoud AMIRI & Jurgita ANTUCHEVICIENE, 2016. "A New Method Of Assessment Based On Fuzzy Ranking And Aggregated Weights (Afraw) For Mcdm Problems Under Type-2 Fuzzy Environment," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 39-68.
    2. Shankha Shubhra Goswami & Dhiren Kumar Behera, 2021. "Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(1), pages 71-96, March.
    3. Mimica R. Milošević & Dušan M. Milošević & Ana D. Stanojević & Dragan M. Stević & Dušan J. Simjanović, 2021. "Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities," Mathematics, MDPI, vol. 9(4), pages 1-29, February.

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