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Item type:Item, Combining grey relation and TOPSIS concepts for selecting an expatriate host country(2004-12-01) ;Chen, MF ;Tzeng, GH ;經營管理研究所 ;科技管理研究所Institute of Business and ManagementAs international corporate activities increase, their staffing involves more strategic concerns. However, foreign assignments have many differences, and dissatisfaction with the host country is a known cause of expatriate failure. From the point of view of an expatriate candidate, the decision of whether to take an expatriate assignment can be regarded as a FMCDM (fuzzy multiple criteria decision making) problem. This paper describes a fuzzy AHP (fuzzy analytic hierarchy process) to determine the weighting of subjective judgments. Using the Sugeno integral for X-fuzzy measure, and using the nonadditive fuzzy integral technique to evaluate the synthetic utility values of the alternatives and the fuzzy weights, then the best host country alternative can be derived with the grey relation model. The authors further combine the grey relation model based on the concepts of TOPSIS (technique for order preference by similarity to ideal solution) to evaluate and select the best alternative. A real case of expatriate assignment decision-making was used to demonstrate that the grey relation model combined with the ideas of TOPSIS results in a satisfactory and effective evaluation. (c) 2005 Elsevier Ltd. All rights reserved.Item type:Item, Fuzzy MCDM approach for evaluation of expatriate assignments(2005-06-01) ;Chen, MF ;Tzeng, GH ;Tang, TI ;經營管理研究所科技管理研究所As international corporate activities increase, the staffing of their operations involves more strategic concerns. However, foreign assignments have many differences, and dissatisfaction with host country is a known cause of expatriate failure. This study distinguishes from previous studies, which focused on the expatriate selection process from the viewpoint of the human resource managers. Prom the view of expatriate candidate's points, this paper describes a fuzzy analytic hierarchy process (fuzzy AHP) to determine the weighting of subjective judgments. When the expatriate assignments are evaluated from various aspects, such as employee personal factors, employee competencies, job characteristics, family factors, environmental factors and organization relocation support activities, it can be regarded as an fuzzy multiple criteria decision making (FMCDM) problem. Since expatriate candidates cannot clearly estimate the relative importance of each considered criterion in terms of numerical values, fuzziness is applicable. Consequently, this paper uses triangular fuzzy numbers by fuzzy AHP to establish weights for expatriate candidates, thus determining the relative importance for criteria of expatriate assignments. From the insights of this study, this article addresses this expatriate problem and offers guidelines for managers concerned with a successful expatriate assignment program.Item type:Item, A fuzzy CBR technique for generating product ideas(2008-01-01) ;Wu, Muh-Cherng ;Lo, Ying-Fu ;Hsu, Shang-Hwa ;工業工程與管理學系Department of Industrial Engineering and ManagementThis paper presents a fuzzy CBR (case-based reasoning) technique for generating new product ideas from a product database for enhancing the functions of a given product (called the baseline product). In the database, a product is modeled by a 100-attribute vector, 87 of which are used to model the use-scenario and 13 are used to describe the manufacturing/recycling features. Based on the use-scenario attributes and their relative weights - determined by a fuzzy AHP technique, a fuzzy CBR retrieving mechanism is developed to retrieve product-ideas that tend to enhance the functions of the baseline product. Based on the manufacturing/recycling features, a fuzzy CBR mechanism is developed to screen the retrieved product ideas in order to obtain a higher ratio of valuable product ideas. Experiments indicate that the retrieving-and-filtering mechanism outperforms the prior retrieuing-only mechanism in terms of generating a higher ratio of valuable product ideas. (c) 2006 Elsevier Ltd. All rights reserved.