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(2001). Application of fuzzy clustering in determining repair categories. Electronic and Cyber Defense, 3(8), 33-37.
. "Application of fuzzy clustering in determining repair categories". Electronic and Cyber Defense, 3, 8, 2001, 33-37.
(2001). 'Application of fuzzy clustering in determining repair categories', Electronic and Cyber Defense, 3(8), pp. 33-37.
Application of fuzzy clustering in determining repair categories. Electronic and Cyber Defense, 2001; 3(8): 33-37.

Application of fuzzy clustering in determining repair categories

مدیریت زنجیره تأمین
Article 3, Volume 3, Issue 8, July 2020, Pages 33-37    PDF (270.72 K)
Document Type: Scientific Paper
Receive Date: 16 July 2001,  Revise Date: 03 August 2001,  Accept Date: 25 August 2001 
Abstract
In this paper, an algorithm is developed that can be used to determine the activities of repair classes in a repair unit. The algorithm has the ability to receive a wide range of information, including quantitative, qualitative, relative, rank, nominal and fuzzy.
The allocation of each activity to the repair categories is determined fuzzy. Developing a decision support system makes it easy to decide, use and use the algorithm.
Keywords
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References

1. Bandemen, H. and W. Nther (1992) Fuzzy Data Analysis, Dovdrecht.
2. Bezdek, J.C. (1981) Pattern Recognition with Fuzzy Objective Function Algorithms. NewYork,
London.

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