TY - CHAP
T1 - Building linguistic random regression model and its application
AU - Li, Sha
AU - Imai, Shinya
AU - Watada, Junzo
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Confidence interval
KW - Expected value
KW - Fuzzy random variable
KW - Fuzzy regression model
KW - Linguistic expression
KW - Variance
UR - http://www.scopus.com/inward/record.url?scp=84879268900&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879268900&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29977-3_17
DO - 10.1007/978-3-642-29977-3_17
M3 - Chapter
AN - SCOPUS:84879268900
SN - 9783642299766
VL - 15
T3 - Smart Innovation, Systems and Technologies
SP - 165
EP - 174
BT - Smart Innovation, Systems and Technologies
ER -