Paper Info
Title
Comparison of mamdani and TSK fuzzy models for real estate appraisal
Abstract
Two fuzzy models for real estate appraisal, i.e. Mamdani-type and Takagi-Sugeno-Kang-type have been built with the aid of experts. Both models comprised 7 input variables referring to main attributes of a property being appraised. In order to determine the rule bases for both models an evolutionary algorithm has been applied. The experiments revealed that models assured acceptable estimations of property values.
Year
DOI
Venue
2007
10.1007/978-3-540-74829-8_123
KES (3)
Keywords
Field
DocType
fuzzy model,input variable,tsk fuzzy model,rule base,real estate appraisal,main attribute,evolutionary algorithm,property value,acceptable estimation,real estate,rule based
Data mining,Fuzzy model,Real estate appraisal,Evolutionary algorithm,Computer science,Fuzzy logic,Artificial intelligence
Conference
Volume
ISSN
Citations 
4694
0302-9743
8
PageRank 
References 
Authors
0.70
3
4
Name
Order
Citations
PageRank
Dariusz Król121034.50
Tadeusz Lasota234825.33
Bogdan Trawiński328824.72
Krzysztof Trawiński424716.06