Building Linguistic Random Regression Model and Its Application

Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 15)


The objective of this paper is to build a model for the linguist random regression model as a vehicle to solve linguistic assessment given by experts. The difficulty in the direct measurement of certain characteristics makes their estimation highly impressive and this situation results in the use of fuzzy sets. In this sense, the linguistic treatment of assessments becomes essential when fully reflecting the subjectivity of the judgment process. When we know the attributes assessment, the linguistic regression model get the total assessment.


Linguistic expression fuzzy random variable expected value fuzzy regression model variance confidence interval 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Graduate School of Information, Production and SystemsWaseda UniversityWakamatsuJapan

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