以往在供應商評選的研究中，以探討個別產業的特性來決定評選準則和建立評選架構的研究較多，也有以企業目標規劃的方法進行供應商評選之研究，較少以整合企業本身的策略，來建立供應商評選模式的相關研究。本研究藉由文獻探討，整理出企業競爭策略類型，以及和這些策略相對應的績效指標，進一步再配合企業競爭策略選出最適合的指標，作為評選供應商的準則，並藉由語意變數來建構岀供應商績效的多屬性矩陣。隨後，運用三種不同的模糊語意量詞(fuzzy linguistic quantifier)來傳遞各屬性重要程度的模糊多數(fuzzy majority)概念，藉以發展語意準則的配適作業以獲取權重值。再將依語意準則所取得的權重值進行熵值(entropy)最大化的作業，使準則的整合過程得以擷取最大的資訊量，得到修正後的權重值。接下來導入模糊積分，進行屬性整合作業，以決定整體供應商績效，進而決定供應商順位，最後以台灣液晶電視產業為例進行模式推演。

Instead of the existing supplier selection methods, this study considers competition strategies to develop the selection approach. According to the competition strategies of the specific industry, the suitable index can be adopted as the attributes for the supplier selection. For expressing the fuzzy nature in the evaluation process, linguistic variables are used to assess the performance of each supplier. The matching process of the linguistic criteria is established to gain weights by three kinds of fuzzy linguistic quantifiers. In order to get the most information in the aggregation process, entropy function is used to gain the modified weights. Following the presented approach, the performance of the suppliers can be obtained and their sequence can be determined by fuzzy integral. The example of Taiwan LCD TV industry is used to demonstrate the feasibility and practicability of the proposed approach.

一、中文部分
王淑珍，台灣邁向液晶王國之秘，中國生產力中心，2003

楊千，策略管理：理論與實務，華泰，2007

數位時代雜誌，2004/10 & 2005/01

機械工業技術與產業資訊專輯275期，台灣薄膜電晶體液晶顯示器產業競爭環境 與策略之研究

二、英文部分
Aaker, D. A., Strategic Market Management, New York: Wiley, 1984.

Aitken, J., Childerhouse, P. and Towill, D.,“The impact of product life cycle on supply chain strategy,” International Journal of Production Economics, 85, 127-140, 2003.

Arieh, D. B.,“Sensitivity of multi-criteria decision making to linguistic quantifiers and aggregation means,” Computers & Industrial Engineering, 48, 289-309, 2005.

Badri, M. A., “A combined AHP-GP model for quality control systems,” International Journal of Production Economics, 72, 27-40, 2001.

Carlsson, C. and Fuller, R.,“Benchmarking in linguistic importance weighted aggregations,” Fuzzy Sets and Systems, 114, 35-41, 2000.

Chang, S. L., Wang, R. C., and Wang, S. Y.,“Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle,” International Journal of Production Economics, 100, 348-359, 2006.

Chen, Y. W., and Tzeng, G. H.,“ Using fuzzy integral for evaluation subjectively perceived travel costs in a traffic assignment model,” European Journal of Operational Research, 130, 653-664 , 2001.

Chen, T. and Wang, J., “Identification of λ-fuzzy measures using sampling design and genetic algorithms,” Fuzzy Sets and Systems, 123, 321-341, 2001.

Das, S. K. and Abdel-Malek L., “Modeling the flexibility of order quantities and lead-times in supply chains,” International Journal of Production Economics, 85,
171-181, 2003.

Dickson, G. W., “An Analysis of Vendor Selection System and Decisions,” Journal of purchasing, 2, 5-17, 1966.

Dubois, D. and Prade, H., “Operations on fuzzy numbers,” International Journal of Systems Science, 9, 613-626, 1978.

Filev, D., and Yager, R. R., “Analytic properties of maximum entropy OWA operators”, Information Sciences, 85, 11-27, 1995.

Glueck, W. F., Business Policy：Strategy Formation and Management Action, New York: McGraw Hill, 1976.

Grabisch, M., “The application of fuzzy integrals in multicriteria decision making,” European Journal of Operational Research, 89, 445-456, 1995.

Herrera, F., Herrera-Viedma, E. and Martinez, L.,“A fusion approach for managing multi-granularity linguistic term sets in decision making,” Fuzzy Sets and Systems,
114, 43-58, 2000.

Ishii, K. and Sugeno, M.,“A model human evaluation process using fuzzy measure,” International Journal of Man-Machine Studies, 22, 19-38, 1985.

Lau, H. C. W., Wan, K. P. and Wong, W. Y., “Methodology for monitoring supply chain
performance: a fuzzy logic approach,”Logistics Information Management, 15, 271-280, 2002.

Llamazares, B.,“Simple and absolute special majorities generated by OWA operators,” European Journal of Operational Research, 158, 707-720, 2004.

Maurizio, B. and Alberto, P., “From Traditional Purchasing to Supplier Management: A Fuzzy Logic-based Approach to Supplier Selection,” International Journal of Logistics: Research and Applications, 5, 235-256, 2002.

Miles, R. E. and Snow, C. C., Organizational Strategy, Structure and Process, New York: McGraw-Hill, 1978.

Mummalaneni, V., Dubas, K. M. and Chao, C. N., “Chinese Purchasing Managers’ Preferences and Trade-offs in Supplier Selection and Performance Evaluation,” Industrial Marketing Management, 25, 115-124, 1996.

Olhager, J and Selldin, E., “Supply chain management survey of Swedish manufacturing firms,” International Journal of Production Economics, 89, 353-361, 2004.

Onisawa, T., Sugeno, M., Nishiwaki, Y., Kawai, H. and Harima, Y., “Fuzzy measure analysis of public attitude towards the use of nuclear energy,”Fuzzy Sets and System, 20, 259-289, 1986.

Pearson, J. N. and Ellram, L. M., “Supplier Selection and Evaluation in Small Versus Large Electronics Firms,” Journal of Small Business Management, 33, 53-60, 1995.

Pfeffer, J. and Salancik, G. R., The External Control of Organizations: A Resource
Dependence Perspective, Harper & Row publishers, 1978.

Porter, M. E., Competitive Strategy, The Free Press, 1980.

Roodhooft, F. and Konings, J., “Vendor selection and evaluation an activity based costing approach,”European Journal of Operational Research, 96, 97-102, 1997.

Saaty, T. L., The Analytic Hierarchy Process, New York: McGraw-Hill, 1980.

Sharma, D., Benton, W. C. and Srivastava, R., “Competitive strategy and purchasing decision,” in Proceeding of the 1989 Annual Conference of the Decision Science Institute, 1088-1090, 1989.

Timmerman, E., “An approach to vendor performance evaluation,” Journal of Purchasing and Materials Management, 22, 2-8, 1986.
Weber, C. A., Current, J. R. and Benton, W. C., “Vendor Selection Criteria and Methods,”European Journal of Operational Research, 50, 2-18, 1991.

Weber, C. A. and Current, J., “A multiobjective approach to vendor selection,” European Journal of Operational Research, 68, 173-184, 1993.

Weber, C. A. and Desai, A., “Determination of paths to vendor market efficiency using parallel coordinates representation: a negotiation tool for buyers,”European Journal of Operational Research, 90, 142-155, 1996.

Weber, C. A., Current, J. R. and Desai, A., “Non–cooperative negotiation strategies for vendor selection,” European Journal of Operational Research, 108, 208-223, 1998.

Xu, Z. S., and. Da Q. L., “An overview of operators for aggregating information,” International Journal of Intelligent Systems, 18, 953-969, 2003.

Yager, R. R., “On ordered weighted averaging aggregation operators in multicriteria decision making,” IEEE Transactions on Systems, Man, and Cybernetics, 18, 183-190, 1988.

Yahya, S. and Kingsman, B., “Modeling a multi-objective allocation problem in a government sponsored entrepreneur development program,” European Journal of
Operational Research, 136, 430-448, 2002.

Zadeh, L. A., “Fuzzy sets,” Information Control, 8, 338-353, 1965.

Zadeh, L. A., “The concept of linguistic variable and its application to approximate reasoning, Part 1,” Information Science, 8, 199-249, 1975.

三、網站部分
資策會資訊市場情報中心，http://mic.iii.org.tw/

iSuppli， http://www.isuppli.com

工研院IEK，http://www.iek.itri.org.tw

中時電子報，http://news.chinatimes.com/

經濟部高畫質視訊工業發展推動小組，http://www.dvo.org.tw/index.html

IMS Research，http://www.imsresearch.com

EIU Research，http://www.eiu.com

電子時報，http://www.digitimes.com.tw/

財團法人國家實驗研究院科技政策研究與資訊中心，http://cdnet.stpi.org.tw

拓墣產業研究所，http://www.topology.com.tw/

DisplaySearch, http://www.displaysearch.com/

宏碁，http://www.acer.com.tw/

奇美電子，http://www.cmo.com.tw/cmo/t-chinese/index.jsp

經濟部中小企業處，http://www.moeasmea.gov.tw/