Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shan Huo Chen"'
Autor:
Shu Man Chang, Shan Huo Chen
Publikováno v:
International Journal of Production Economics. 113:887-894
In this paper, we introduce a Fuzzy Economic Production Quantity (FEPQ) model with defective productions that cannot be repaired. In this model, we consider a fuzzy opportunity cost and trapezoidal fuzzy costs under crisp production quantity or fuzzy
Publikováno v:
New Mathematics and Natural Computation. (02):131-138
Fuzzy numbers with exponential membership function are quite common in real world cases. In this paper, we applied Graded Mean Integration Representation Method to compute the representation of exponential fuzzy numbers. Then the Function Principle i
Autor:
Chih-Hsun Hsieh, Shan-Huo Chen
Publikováno v:
Information Sciences. 121:61-82
The purpose of this paper is to develop a fuzzy product positioning model, and to design an algorithm for evaluating the positions of each product with estimated ideal products by using a linguistic questionnaire. In order to compute with the linguis
Autor:
Shan-Huo Chen
Publikováno v:
Information Sciences. 108:149-155
The Function Principle was introduced in 1984 by Chen, to keep the original type of membership function and simplify the arithmetic operations of fuzzy numbers. This paper shows how to treat the operations of fuzzy numbers with step form by using Fun
Publikováno v:
Information Sciences. 95:71-79
In this paper, the fuzzy inventory model is discussed, especially in the case of permitting backorder under the fuzzy environment of fuzzy demand, fuzzy order cost, fuzzy inventory cost, and fuzzy backorder cost. We use the function principle, instea
Autor:
Shan-Huo Chen, Chien-Chung Wang
Publikováno v:
ICMLC
The main purpose of this paper is to find the reasons why we use the Second Function Principle as the fuzzy arithmetical operations in the field of trapezoidal fuzzy numbers. Generalized trapezoidal fuzzy numbers are applied on data analysis, artific
Autor:
Chien-Chung Wang, Shan-Huo Chen
Publikováno v:
2009 International Conference on Machine Learning and Cybernetics.
We consider the absolute value of trapezoidal fuzzy number through graded mean integration representation, and graded mean integration ranking of trapezoidal fuzzy numbers. Then, we use this absolute value of the difference of two triangle fuzzy numb
Autor:
Shan-Huo Chen, Chien-Chung Wang
Publikováno v:
2008 International Conference on Machine Learning and Cybernetics.
In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized L-R type fuzzy number and the span of fuzzy number, We also discuss the distance of the linguistic data of ldquogreater or less than xrdquo an
Autor:
Chien-Chung Wang, Shan-Huo Chen
Publikováno v:
2007 International Conference on Machine Learning and Cybernetics.
Whether it is reasonable to define a crisp distance between fuzzy objects is a natural question to us. If the numbers themselves are not certain, how can the distance between them be certain? In this paper, we consider different approaches to compute
Autor:
Chien-Chung Wang, Shan Huo Chen
Publikováno v:
JCIS
Fuzzy distance is applied on data analysis, classification, and product positioning analysis widely. In this paper, We introduce a fuzzy distance by using graded mean integration representation of generalized fuzzy number and the span of fuzzy number