The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 31-404
Full Name: Hui Li
Position: Associate Professor
Age: ON
Sex: Male
Address: Subbox 91 in P.O.Box 62 at YingBinDaDao 688
Country: CHINA
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E-mail address: lihuihit@126.com
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Title of the Paper: Similarity-Based Experts Weighting of CBR-Based Multi-experts System in Partner Selection
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Number of paper pages: 10
Abstract: With the development of supply chain collaboration in agile manufacturing (AM), outsourcing has become a focus, in which partner selection is an important problem. Outsourcing decision is often related with expertise. The decision of partner selection needs to take opinions of multi-experts from various departments of enterprise into consideration. Expert system (ES) is one of the main branches that focus on expertise, and case-based reasoning (CBR) is a methodology for problem solving in complex environments. In this research, a new approach of similarity-based experts weighting in CBR-based multi-experts system (MES) was proposed to integrate expertise in outsourcing of AM. Foundational issues of expert weighting in CBR-based MES, including the R6 model, assumption of delaminating structure of case and similarity-based experts weighting, were firstly discussed. Based on the R6 model and assumptions, experts weighting mechanism in CBR-based MES was then built up, !
including weighting founded on consensus-based similarity and that founded on case-based similarity. Finally, the application of multi-experts weighting approach in supplier selection carried out.
Keywords: Outsourcing; Experts weighting; Case-based reasoning; Multi-experts System; Partner selection
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