Automatic construction of FCMs

M. Schneider; E. Shnaider; A. Kandel; G. Chew

doi:10.1016/S0165-0114(96)00218-7

Automatic construction of FCMs

M. Schneider, E. Shnaider, A. Kandel^*, G. Chew

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

127 Scopus citations

Abstract

In this paper we describe a method for automatically constructing fuzzy cognitive maps based on the user provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the use of the fuzzy expert system tool (FEST) it determines the causality among variables. First, we describe the algorithm to construct automatically the FCM, and then we provide a case study to illustrate the functioning of our algorithm.

Original language	English
Pages (from-to)	161-172
Number of pages	12
Journal	Fuzzy Sets and Systems
Volume	93
Issue number	2
DOIs	https://doi.org/10.1016/S0165-0114(96)00218-7
State	Published - 1998
Externally published	Yes

Keywords

Economics
Fuzzy cognitive maps
Fuzzy expert system
Fuzzy logic
Similarity relation

Access to Document

10.1016/S0165-0114(96)00218-7

Cite this

@article{0517ca4c26654ecf85b1e35781f96d3b,

title = "Automatic construction of FCMs",

abstract = "In this paper we describe a method for automatically constructing fuzzy cognitive maps based on the user provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the use of the fuzzy expert system tool (FEST) it determines the causality among variables. First, we describe the algorithm to construct automatically the FCM, and then we provide a case study to illustrate the functioning of our algorithm.",

keywords = "Economics, Fuzzy cognitive maps, Fuzzy expert system, Fuzzy logic, Similarity relation",

author = "M. Schneider and E. Shnaider and A. Kandel and G. Chew",

year = "1998",

doi = "10.1016/S0165-0114(96)00218-7",

language = "אנגלית",

volume = "93",

pages = "161--172",

journal = "Fuzzy Sets and Systems",

issn = "0165-0114",

publisher = "Elsevier B.V.",

number = "2",

}

TY - JOUR

T1 - Automatic construction of FCMs

AU - Schneider, M.

AU - Shnaider, E.

AU - Kandel, A.

AU - Chew, G.

PY - 1998

Y1 - 1998

N2 - In this paper we describe a method for automatically constructing fuzzy cognitive maps based on the user provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the use of the fuzzy expert system tool (FEST) it determines the causality among variables. First, we describe the algorithm to construct automatically the FCM, and then we provide a case study to illustrate the functioning of our algorithm.

AB - In this paper we describe a method for automatically constructing fuzzy cognitive maps based on the user provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the use of the fuzzy expert system tool (FEST) it determines the causality among variables. First, we describe the algorithm to construct automatically the FCM, and then we provide a case study to illustrate the functioning of our algorithm.

KW - Economics

KW - Fuzzy cognitive maps

KW - Fuzzy expert system

KW - Fuzzy logic

KW - Similarity relation

UR - http://www.scopus.com/inward/record.url?scp=0000164279&partnerID=8YFLogxK

U2 - 10.1016/S0165-0114(96)00218-7

DO - 10.1016/S0165-0114(96)00218-7

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

AN - SCOPUS:0000164279

SN - 0165-0114

VL - 93

SP - 161

EP - 172

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

IS - 2

ER -

Automatic construction of FCMs

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this