Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites

  • Authors:

  • Gwo-Hshiung Tzeng;Yu-Ping Ou Yang;Chin-Tsai Lin;Chie-Bein Chen

  • Affiliations:

  • Kai Nan University, No. 1 Kai-Nan Rd., Luchu, Taoyuan 338, Taiwan;Civil Aeronautics Administration Ministry of Transportation and Communications, No. 340 Tung Hwa N. Rd., Taipei 105, Taiwan;Yuanpei University of Science and Technology, No. 306, Yuanpei St., Hsinchu 300, Taiwan;Institute of International Business, National Dong Hwa University, 1, Sec. 2, Da Hsueh Rd., Shou-Feng, Hualien 974, Taiwan

  • Venue:
  • Information Sciences—Informatics and Computer Science: An International Journal
  • Year:
  • 2005

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Abstract

In the real world, most criteria have inter-dependent or interactive characteristics so they cannot be evaluated by conventional additive measures. Thus, to approximate the human subjective evaluation process, it would be more suitable to apply a fuzzy integral model, in which it is not necessary to assume additivity and independence. This research proposes an effective algorithm to determine the λ-value using the input data of fuzzy densities and the fuzzy integral based on λ-fuzzy measure to determine the overall evaluation. This research also gives an example of evaluating enterprise intranet web sites with illustrations of the hierarchical structure of λ-fuzzy measure for a Choquet integral model. The results show that the fuzzy integral is more suitable than a traditional multicriteria evaluation method for human subjective evaluation, or when criteria are not mutually independent.