A method for determining customer requirement weights based on TFMF and TLR

被引:7
作者
Ai, Qingsong [1 ,2 ]
Shu, Ting [1 ,2 ]
Liu, Quan [1 ,2 ]
Zhou, Zude [1 ,2 ]
Xiao, Zheng [1 ,2 ]
机构
[1] Wuhan Univ Technol, Key Lab Broadband Wireless Commun & Sensor Networ, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China
基金
中国国家自然科学基金;
关键词
enterprise systems; customer requirements; quality function deployment; House of Quality; trapezoidal fuzzy membership function; 2-tuple linguistic representation; linguistic evaluation scale; QUALITY FUNCTION DEPLOYMENT; ENTERPRISE SYSTEMS; SERVICE WORKFLOW; DESIGN; IMPLEMENTATION; ARCHITECTURE; CHINA; MODEL; QFD;
D O I
10.1080/17517575.2012.763190
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Customer requirements' (CRs) management plays an important role in enterprise systems (ESs) by processing customer-focused information. Quality function deployment (QFD) is one of the main CRs analysis methods. Because CR weights are crucial for the input of QFD, we developed a method for determining CR weights based on trapezoidal fuzzy membership function (TFMF) and 2-tuple linguistic representation (TLR). To improve the accuracy of CR weights, we propose to apply TFMF to describe CR weights so that they can be appropriately represented. Because the fuzzy logic is not capable of aggregating information without loss, TLR model is adopted as well. We first describe the basic concepts of TFMF and TLR and then introduce an approach to compute CR weights. Finally, an example is provided to explain and verify the proposed method.
引用
收藏
页码:569 / 580
页数:12
相关论文
共 47 条
[11]   Improving Multilingual Semantic Interoperation in Cross-Organizational Enterprise Systems Through Concept Disambiguation [J].
Guo, Jingzhi ;
Xu, Li Da ;
Xiao, Guangyi ;
Gong, Zhiguo .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (03) :647-658
[12]   A 2-tuple fuzzy linguistic representation model for computing with words [J].
Herrera, F ;
Martínez, L .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (06) :746-752
[13]  
HERRERA F, 2000, DECSAI000110 U GRAN
[14]   Induction of fuzzy rules and membership functions from training examples [J].
Hong, TP ;
Lee, CY .
FUZZY SETS AND SYSTEMS, 1996, 84 (01) :33-47
[15]  
Langenwalter G.A., 2000, ENTERPRISE RESOURCES
[16]   Integrated Healthcare Information Systems [J].
Li, Ling ;
Ge, Ri-Li ;
Zhou, Shang-Ming ;
Valerdi, Ricardo .
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2012, 16 (04) :515-517
[17]   Effects of enterprise technology on supply chain collaboration: analysis of China-linked supply chain [J].
Li, Ling .
ENTERPRISE INFORMATION SYSTEMS, 2012, 6 (01) :55-77
[18]  
Ma J, 2005, PACIFIC ASIA CONFERENCE ON INFORMATION SYSTEMS 2005, SECTIONS 1-8 AND POSTER SESSIONS 1-6, P301
[19]   APPLICATION OF FUZZY ALGORITHMS FOR CONTROL OF SIMPLE DYNAMIC PLANT [J].
MAMDANI, EH .
PROCEEDINGS OF THE INSTITUTION OF ELECTRICAL ENGINEERS-LONDON, 1974, 121 (12) :1585-1588
[20]  
MASUD ASM, 1993, P 2 IND ENG RES C, P270