A Conceptual Model Based on the Fuzzy Set Theory to Measure and Evaluate the Performance of Service Processes

Author(s):  
Schafiq Amini ◽  
Roland Jochem
2012 ◽  
Vol 479-481 ◽  
pp. 1741-1744
Author(s):  
Hong Bin Miao

The evaluation of conceptual design schemes of mechanical products is an essential problem in the process of its conceptual design. At the stage of conceptual design, whether a correct and objective evaluation can be made on these design schemes will ultimately decide a good or bad performance, even its success or failure. The evaluation of conceptual design is a semi-structural decision-making that includes qualitative indexes and quantitative indexes, so it is difficult to select the best design concepts from a number of schemes. Therefore, an evaluation model based on the engineering fuzzy set theory is developed in this paper. First, the paper makes a detailed hierarchy analysis of evaluation indexes system and constructs some evaluation units according to evaluation indexes system. The whole evaluation of schemes is translated into a series of evaluation of basic units or comprehensive cells. Second, a multi-pole fuzzy pattern recognition model based on the engineering fuzzy set theory is established and the relative membership degree matrix can be obtained by the model, the matrix shows the order of excellence. An example is given for demonstration of its application. It shows that the method is feasible and reasonable.


2018 ◽  
Vol 20 (1) ◽  
pp. 181-201 ◽  
Author(s):  
Apostolos Syropoulos

Abstract Vagueness is a linguistic phenomenon as well as a property of physical objects. Fuzzy set theory is a mathematical model of vagueness that has been used to define vague models of computation. The prominent model of vague computation is the fuzzy Turing machine. This conceptual computing device gives an idea of what computing under vagueness means, nevertheless, it is not the most natural model. Based on the properties of this and other models of vague computing, an attempt is made to formulate a basis for a philosophy of a theory of fuzzy computation.


2013 ◽  
Vol 31 (5) ◽  
pp. 861-869 ◽  
Author(s):  
Xiaofeng Tao ◽  
Fangmin Xu ◽  
Waheed ur Rehman ◽  
Yingyue Xu ◽  
Xiaona Li

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