Dynamic multi-attribute decision making model with grey number evaluations

  • Authors:

  • Yong-Huang Lin;Pin-Chan Lee;Hsin-I Ting

  • Affiliations:

  • Department of Construction Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Road, Taipei 106, Taiwan, ROC;Department of Construction Engineering, National Taiwan University of Science and Technology, 43, Section 4, Keelung Road, Taipei 106, Taiwan, ROC;Construction Department, CTCI Corporation, 14 Fl., CTCI Tower, 77, Section 2, Tun Hwa South Road, Taipei 106, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2008

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Abstract

In practice, multi-period evaluations have to be considered to obtain a reliable decision. Besides, owing to the increasing complexity of decision, the uncertainty of evaluation also increases. Therefore, this study proposes a dynamic decision making model which takes the TOPSIS technique as main structure, integrating the concepts of grey number and Minkowski distance function into it to deal with the uncertain information and aggregate the multi-period evaluations. A subcontractor selection example is adopted to demonstrate the feasibility and practicability of the proposed model. Results show that the proposed model is efficient and robust, and quite good for real-world applications.