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Publikováno v:
FSKD
In this paper, we consider a risk model in which the individual claim amount is assumed to be a random variable with fuzzy parameters and the claim number process is characterized as Poisson process with fuzzy intensity λ. The mean chance of the ult
Publikováno v:
FSKD
This paper presents how credibility theory and chance-constrained optimization method can be efficiently applied for modelling and solving agricultural production planning problem in fuzzy systems. Since the proposed fuzzy agricultural production pla
Autor:
Gao-Xia Wang
Publikováno v:
FSKD
This paper presents a novel method for multiple attribute decision making problems, in which interval numbers are used to assess the weights of attributes, and fuzzy linguistic variables are utilized to evaluate the suitability of alternatives versus
Autor:
Xingju Wang, Ran-hang Zhao
Publikováno v:
FSKD
Flood control decisions are often involved with quantitative and qualitative criteria. In this paper, a fuzzy model is presented for flood control operations. Based on dual comparison, two models computing relative membership grades with qualitative
Autor:
Xiaoji Liu, Yi Zhang
Publikováno v:
FSKD
In this paper, we talk about the solution of fuzzy linear systems, prove a necessary and sufficient condition, and give an exact numerical example, then provide a condition for one solution to be a fuzzy vector.
Autor:
Feng Tian, JieChang Wen
Publikováno v:
FSKD
In this paper, the difference of satisfactions for fuzzy yield and fuzzy risk from investors is viewed as a fuzzy number with parabolic membership function, and a fuzzy decision securities investment combination model bases on parabolic satisfaction
Publikováno v:
FSKD
A new clustering classification approach based on fuzzy closeness relationship (FCR) is studied in this paper. As we know, fuzzy clustering classification is one of important and valid methods to knowledge discovery. One of problems in fuzzy clusteri
Autor:
Li-Li Wei, Chang-Lin Xu
Publikováno v:
FSKD
Ranking fuzzy numbers plays a very important role in decision making and some other fuzzy application systems. Many different methods have been proposed to deal with ranking fuzzy numbers. Constructing ranking indexes based on the centroids of fuzzy
Autor:
Xunwei Zhou
Publikováno v:
FSKD
Mutually-inversistic fuzzy interval logic is the integration of mutually-inversistic fuzzy logic constructed by the author and interval arithmetic. It is used to deal with the fuzziness of interval values. It can be used to mine the fuzzy interval as
Publikováno v:
FSKD
Classification is one of the most popular data mining techniques applied to many scientific and industrial problems. Recently, fuzzy association rule has been extensively studied in classification. In this paper, a new classification model is propose