Abstract

Case-based reasoning has emerged as an alternative to rule-based reasoning techniques for the design of expert systems. This paper concentrates on the issues involved in the application of the case-based reasoning techniques to a specific domain, property appraisal. Case-based reasoning has been recently favored because it seems to resemble more closely to the psychological process human follows when trying to apply their knowledge to the solution of problems: People adapt solutions of similar problems they handled in past experiences to address present situations.

Property appraisal or valuation is a domain characterized by having a single parameter in its solution, that is, the value of the property being appraised. This makes it differ from most of the domains in which case-based reasoning have been attempted. Those other domains require the satisfaction of multiple goals, which are related to one another in some type of explanation or plan. Because of the fact that property appraisal has a single goal, it is particularly important to find the best possible answer for that solution. In addition to this, the achievement of consistency is also essential in this domain in which different experts may reach different answers, even having the same data at their disposition.

By modelling the market data approach of the appraisal, using adaptations of case-based reasoning techniques, such as the similarity links and the critics, and integrating other techniques, such as the use of comfort factors, a case-based reasoned for property appraisal is implemented addressing the issues just mentioned above.

Graduation Date

1990

Semester

Fall

Advisor

Gonzalez, Avelino J.

Degree

Master of Science (M.S.)

College

College of Engineering

Department

Computer Engineering

Degree Program

Computer Engineering

Format

PDF

Pages

169 p.

Language

English

Rights

Written permission granted by copyright holder to the University of Central Florida Libraries to digitize and distribute for nonprofit, educational purposes.

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0020586

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

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