1999
DOI: 10.1108/14635789910270495
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The application of intelligent hybrid techniques for the mass appraisal of residential properties

Abstract: Hybrid systems as the next generation of intelligent applications within the field of mass appraisal and valuation are investigated. Motivated by the obvious limitations of paradigms that are being used in isolation or as stand-alone techniques such as multiple regression analysis, artificial neural networks and expert systems. Clearly, there are distinct advantages in integrating two or more information processing systems that would address some of the discrete problems of individual techniques. Examines firs… Show more

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Cited by 70 publications
(45 citation statements)
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“…Various methods have been used for real estate mass appraisal, among which parametric regression analysis is the traditional choice (Ball, 1973;Lentz and Wang, 1998;Miller, 1982; Laakso, 1997; Theriault et al, 2005;Kang and Reichert, 1991;McCluskey and Anand, 1999). In some studies nonparametric regressions have been applied successfully (e. g., Filho and Bin, 2005).…”
mentioning
confidence: 99%
“…Various methods have been used for real estate mass appraisal, among which parametric regression analysis is the traditional choice (Ball, 1973;Lentz and Wang, 1998;Miller, 1982; Laakso, 1997; Theriault et al, 2005;Kang and Reichert, 1991;McCluskey and Anand, 1999). In some studies nonparametric regressions have been applied successfully (e. g., Filho and Bin, 2005).…”
mentioning
confidence: 99%
“…The Network of Associations of Local Authorities of South-East Europe [16] and McCluskey and Anand [17] state that the mass appraisal method can be used on both single and multiple properties. The development of mass appraisal systems demands continual improvement in order to achieve maximum quality coupled with efficient utilization of available resources [18].…”
Section: Geographic Information Systems (Gis)mentioning
confidence: 99%
“…One of the new area for fuzzification is real estate appraisals market with automated valuation models [2], [3]. Many intelligent methods based on artificial intelligence have been developed to support appraisers' works: neural networks, genetic algorithms, and hybrid approaches.…”
Section: Introductionmentioning
confidence: 99%