A hybrid fuzzy integral decision-making model for locating manufacturing centers in China: A case study

Feng, Chao; Wu, Pei-Ju; Chia, Kai-Chieh

doi:10.1016/j.ejor.2008.12.004

Cited by 36 publications

(15 citation statements)

References 44 publications

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“…Yang et al (2008) studied vendor selection by integrated fuzzy MCDM techniques, and the ISM was applied to map out the relationships among the sub-criteria. Feng et al (2010) proposed a hybrid fuzzy integral decision-making model for selecting locations of high-tech manufacturing centers in China through integrating factor analysis, ISM, Markov chain, fuzzy integral and the simple additive weighted method. Lee et al (2010b) proposed an evaluation framework for technology transfer of new equipment in high technology industry.…”

Section: Interpretive Structural Modeling (Ism)mentioning

confidence: 99%

An integrated fuzzy QFD framework for new product development

Lee

Lin

2011

Flex Serv Manuf J

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An important source of competitive advantage, survival and renewal for firms is the successful new product development (NPD). Quality function deployment (QFD) aims to facilitate the NPD process from product conceptualization to production requirements; however, conventional QFD has its shortcomings. Even though modified QFD models have been proposed in literature, a comprehensive model is necessary. In this paper, factors in each phase of the QFD is prepared first through literature review and interview with domain experts. Fuzzy Delphi method is adopted to select the critical factors, and fuzzy interpretive structural modeling is applied to determine the relationships among the critical factors. The results are then used to construct houses of quality for QFD, which is incorporated by fuzzy analytic network process. A case study of a thin film transistor liquid crystal display firm is carried out to verify the practicality of the proposed framework.

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Section: Interpretive Structural Modeling (Ism)mentioning

confidence: 99%

An integrated fuzzy QFD framework for new product development

Lee

Lin

2011

Flex Serv Manuf J

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“…Fuzzy measures and fuzzy integrals were proposed to resolve the preferential dependence problem. For example, Feng et al [32] used fuzzy measures and fuzzy integrals to facilitate the multiple criteria decision analysis for locating manufacturing centers, and the preferential dependence between various criteria was considered.…”

Section: Indicator Integrationmentioning

confidence: 99%

Measuring Network-Based Public Transit Performance Using Fuzzy Measures and Fuzzy Integrals

Shiau

Lee

2017

Sustainability

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This paper proposes an indicator integration model to measure network-based public transit performance. Coverage, directness, and connectivity indicators were used to measure network-based public transit performances individually. The three indicators exist preferential dependence problem in eliciting indicator weights. The value judgments by 40 representatives were collected by using fuzzy measures. Subsequently, fuzzy integrals were applied to integrate the three indicators considering their preferential dependence. The major contributions are twofold: one contribution is providing a comprehensive performance measurement for multimodal transit networks and the other is resolving preferential dependence between the three indicators. A case study of Taipei City was also discussed to demonstrate the application of the integration model. Five major results were derived from the study: (1) according to the decision group preferences, coverage was preferred to directness, and directness was preferred to connectivity; (2) the districts of Taipei City in the central business district (CBD) generally feature high transit coverage compared with the districts in the surrounding areas; (3) the districts in the surrounding areas generally exhibit high transit connectivity compared with the districts in the CBD; (4) the 12 districts of Taipei City do not differ substantially in transit directness performance; and (5) most of the districts of Taipei City in the CBD exhibit relatively better comprehensive transit performance than the districts in the surrounding areas.

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“…Feng et al, 2010). Interpretive structural modeling builds on matrix representations and graph-theoretic methods to model problem domains.…”

Section: State Of the Artmentioning

confidence: 99%