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dc.contributor.authorChiou, HKen_US
dc.contributor.authorTzeng, GHen_US
dc.contributor.authorCheng, DCen_US
dc.date.accessioned2014-12-08T15:18:59Z-
dc.date.available2014-12-08T15:18:59Z-
dc.date.issued2005-06-01en_US
dc.identifier.issn0305-0483en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.omega.2004.04.011en_US
dc.identifier.urihttp://hdl.handle.net/11536/13636-
dc.description.abstractIn actual environmental investment for industry, the stakeholders are often required to evaluate the investment strategies according to their own subjective preferences in terms of numerical values from various criteria, such as economic effectiveness, technique feasibility and environmental regulation. Thus, this situation can be regarded as a fuzzy multiple criteria decision-making (MCDM) problem, so the fuzziness and uncertainty of subjective perception should be considered. This paper proposes an alternative approach, the non-additive fuzzy integral, to cope with evaluation of fuzzy MCDM problems particularly while there is dependence among considered criteria. To illustrate the proposed procedure, the sustainable development strategy for aquatic product processors in Taiwan is investigated. In this paper we employ triangular fuzzy numbers to represent the decision makers' subjective preferences on the considered criteria, as well as for the criteria measurements to evaluate a sustainable development planning case for industry. Firstly, in this study we employ factor analysis to extract four independent common factors from those criteria. Secondly, we construct the evaluation frame using AHP composed of the above four common factors with twelve evaluated criteria, and then derive the relative weights with respect to considered criteria. Thirdly, the synthetic utility value corresponding to each sustainable development strategy is aggregated by the fuzzy weights with fuzzy performance values, and the best investment strategies can then be decided. Through this study, we successfully demonstrate that the non-additive fuzzy integral is an effective evaluation and appears to be more appropriate than the traditional simple additive weighted method, especially when the criteria are dependent. (c) 2004 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy hierarchical analytic processen_US
dc.subjectsustainable developmenten_US
dc.subjectnon-additive fuzzy integralen_US
dc.subjectmultiple criteria decision-makingen_US
dc.subjectfactor analysisen_US
dc.titleEvaluating sustainable fishing development strategies using fuzzy MCDM approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.omega.2004.04.011en_US
dc.identifier.journalOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCEen_US
dc.citation.volume33en_US
dc.citation.issue3en_US
dc.citation.spage223en_US
dc.citation.epage234en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000228731000004-
dc.citation.woscount89-
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