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Issue title: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Álvaro Rocha
Article type: Research Article
Authors: Shao, Wanqinga | Du, Yunchaob; * | Lu, Sumeic
Affiliations: [a] Ningbo International Port and Logistic Research Institute, School of Economics and Management, Ningbo University of Technology, Ningbo, China | [b] School of Management, Wuhan University of Technology, Wuhan, China | [c] Business School, Zhejiang Fashion Institute of Technology, Ningbo, China
Correspondence: [*] Corresponding author. Yunchao Du, School of Management, Wuhan University of Technology, No. 205 Luoshi Road, Hongshan District, Wuhan, China. Tel.: +86 13777945746; Fax: +86 0574 87616138; E-mail: [email protected].
Abstract: Performance evaluation of port supply chain involves various factors. These factors are characterized by fuzziness and incompatibility. It is a complicated multi-layered fuzzy evaluation issue. Based on the theoretical framework of balanced score card (BSC), this paper established a performance evaluation index system for port supply chain involving finance, customers, internal operation, learning and development. An evaluation model was constructed using fuzzy-matter-element analysis to comprehensively evaluate port supply chain performance. Results showed that the proposed evaluation method considered the fuzziness of designed indexes and combined with matter-element characteristics. The method was simple, effective and feasible.
Keywords: Fuzzy-matter-element, performance evaluation, port supply chain
DOI: 10.3233/JIFS-169055
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2159-2165, 2016
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