Fuzzy stochastic fuzzy time series and its models

被引：28

作者：

Song, Q

Leland, RP

Chissom, BS

机构：

[1] UNIV ALABAMA, DEPT ELECT ENGN, TUSCALOOSA, AL 35487 USA

[2] UNIV ALABAMA, COLL EDUC, AREA BEHAV STUDIES, TUSCALOOSA, AL 35487 USA

来源：

FUZZY SETS AND SYSTEMS | 1997年 / 88卷 / 03期

关键词：

fuzzy time series; fuzzy relations; fuzzy valued probability distributions; fuzzy measures; models;

D O I：

10.1016/S0165-0114(96)00077-2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, as an extension of the concept of lime series, we will present the definition and models of fuzzy stochastic fuzzy time series (FSFTS), both of whose values and probabilities with which the FSFTS assumes its values are fuzzy sets, and which may not be modeled properly by the concept of time series. To investigate FSFTS, the definition of fuzzy valued probability distributions is considered and discussed. When the FSFTS is time-invariant, several preliminary conclusions are derived. (C) 1997 Elsevier Science B.V.

引用

页码：333 / 341

页数：9

共 18 条

[1] RADON-NIKODYM THEOREM AND CONDITIONAL-EXPECTATION OF FUZZY-VALUED MEASURES AND VARIABLES [J].