Computing With Words in Fuzzy Cognitive Maps

被引：0

作者：

Rickard, John T. ^{[1
]}

Aisbett, Janet ^{[2
]}

Yager, Ronald R. ^{[3
]}

机构：

[1] Till Capital Ltd, Larkspur, CO 80118 USA

[2] Univ Newcastle, Callaghan, NSW, Australia

[3] Iona Coll, Inst Machine Intelligence, New Rochelle, NY 10801 USA

来源：

2015 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY DIGIPEN NAFIPS 2015 | 2015年

关键词：

Fuzzy cognitive maps; weighted power mean; fuzzy sets; grey sets; squashing functions; fuzzy neurons; type-2 fuzzy systems; SYSTEM; LOGIC;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We extend our previously proposed new structure for fuzzy cognitive maps (FCM) using the weighted power mean (WPM) operator to the domain of Computing With Words (CWW), where all node activations and link strengths are described using interval type-2 fuzzy membership functions which represent words. This FCM structure is both intuitive and easier to specify than crisp FCM structures, as it allows human experts to account for the imprecision that is typical of their judgments of the network parameters. We describe a computationally feasible approach to implementing this new FCM, and provide examples illustrating its behavior, including a comparison of its converged word states with the converged states of the corresponding scalar version.

引用

页数：6

共 31 条

[1] Adaptive Estimation of Fuzzy Cognitive Maps With Proven Stability and Parameter Convergence [J].