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New application of fuzzy logic in social science studies

Behavior and thinking of the people, with their differences on emotions and intuitions, produce the ambiguity in social studies. Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern c...

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Main Authors: Rostami, Yousef, Wong, Shaw Voon, Ibrahim, Ali Azizi
Format: Conference or Workshop Item
Language:English
Published: 2005
Online Access:http://psasir.upm.edu.my/id/eprint/38733/1/38733.pdf
http://psasir.upm.edu.my/id/eprint/38733/
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spelling my.upm.eprints.387332015-06-11T04:31:10Z http://psasir.upm.edu.my/id/eprint/38733/ New application of fuzzy logic in social science studies Rostami, Yousef Wong, Shaw Voon Ibrahim, Ali Azizi Behavior and thinking of the people, with their differences on emotions and intuitions, produce the ambiguity in social studies. Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. The fuzzy sets theory, described by the membership function (Zadeh, 1965), is suggested as an alternative approach to deal with the vagueness of planning goals and the uncertainties in the number of researches and papers (Jowitt, 1984; Koo et al, 1991; Julien, 1994; Chang and Wang, 1996). Fuzzy sets are a communication medium that speaks to both the logical nature of the science and the complexity of the humanities and social sciences. Instead of using point estimation in conventional probability theory, fuzzy set theory can be used to granulate a concept into a set with membership function and uses the range of input data. With fuzzy logic propositions can be represented with degrees of truthfulness and falsehood. This is strongly connected with human’s inherent ability to make conclusions using uncertain information. In addition natural language like most other activities in life and indeed the universe is not easily translated into the absolute terms of 0 and 1.Fuzzy regression model (FRM) is an alternative to estimate the relation between variables among the forecasting models, when the data are not sufficient to identify the relation and we have uncertainty in data.In this paper we analyzed the demand model for international ecotourism in Malaysia as a social science field study by using Fuzzy Regression Model. 2005 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/38733/1/38733.pdf Rostami, Yousef and Wong, Shaw Voon and Ibrahim, Ali Azizi (2005) New application of fuzzy logic in social science studies. In: International Advanced Technology Congress: Conference on Computer Integrated Systems, 6 - 8 Dec. 2005, Putrajaya, Malaysia. .
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Behavior and thinking of the people, with their differences on emotions and intuitions, produce the ambiguity in social studies. Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. The fuzzy sets theory, described by the membership function (Zadeh, 1965), is suggested as an alternative approach to deal with the vagueness of planning goals and the uncertainties in the number of researches and papers (Jowitt, 1984; Koo et al, 1991; Julien, 1994; Chang and Wang, 1996). Fuzzy sets are a communication medium that speaks to both the logical nature of the science and the complexity of the humanities and social sciences. Instead of using point estimation in conventional probability theory, fuzzy set theory can be used to granulate a concept into a set with membership function and uses the range of input data. With fuzzy logic propositions can be represented with degrees of truthfulness and falsehood. This is strongly connected with human’s inherent ability to make conclusions using uncertain information. In addition natural language like most other activities in life and indeed the universe is not easily translated into the absolute terms of 0 and 1.Fuzzy regression model (FRM) is an alternative to estimate the relation between variables among the forecasting models, when the data are not sufficient to identify the relation and we have uncertainty in data.In this paper we analyzed the demand model for international ecotourism in Malaysia as a social science field study by using Fuzzy Regression Model.
format Conference or Workshop Item
author Rostami, Yousef
Wong, Shaw Voon
Ibrahim, Ali Azizi
spellingShingle Rostami, Yousef
Wong, Shaw Voon
Ibrahim, Ali Azizi
New application of fuzzy logic in social science studies
author_facet Rostami, Yousef
Wong, Shaw Voon
Ibrahim, Ali Azizi
author_sort Rostami, Yousef
title New application of fuzzy logic in social science studies
title_short New application of fuzzy logic in social science studies
title_full New application of fuzzy logic in social science studies
title_fullStr New application of fuzzy logic in social science studies
title_full_unstemmed New application of fuzzy logic in social science studies
title_sort new application of fuzzy logic in social science studies
publishDate 2005
url http://psasir.upm.edu.my/id/eprint/38733/1/38733.pdf
http://psasir.upm.edu.my/id/eprint/38733/
_version_ 1643832221911482368
score 13.211869

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