Multidimensional log-normal distribution in real estate appraisals
نویسندگان
چکیده
منابع مشابه
Using Genetic Algorithms for Real Estate Appraisals
The main aim of this paper is the interpretation of the existing relationship between real estate rental prices and geographical location of housing units in a central urban area of Naples (Santa Lucia and Riviera of Chiaia neighborhoods). Genetic algorithms (GA) are used for this purpose. Also, to verify the reliability of genetic algorithms for real estate appraisals and, at the same time, to...
متن کاملFuzzy System Model to Assist with Real Estate Appraisals
Real estate appraisal requires expert knowledge and should be performed by licensed professionals. Prior to the evaluation the appraiser must conduct a thorough study of the appraised property i.e. a land parcel and/or a building. Despite the fact that he sometimes uses the expertise of the surveyor, the builder, the economist or the mortgage lender, his estimations are usually subjective and a...
متن کاملConcept of a Multi-Agent System for Assisting in Real Estate Appraisals
The general architecture of a multi-agent system for real estate appraisal (MAREA) is presented in the paper. The appraisal data warehouse is filled with data drawn from source cadastral databases. Data driven appraisal models are created using different machine learning algorithms. Architecture of the MAREA system in the JADE platform was also proposed. Several experiments aimed to assess the ...
متن کاملExploration of Bagging Ensembles Comprising Genetic Fuzzy Models to Assist with Real Estate Appraisals
The study reported was devoted to investigate to what extent bagging approach could lead to the improvement of the accuracy machine learning regression models. Four algorithms implemented in the KEEL tool, including two evolutionary fuzzy systems, decision trees for regression, and neural network, were used in the experiments. The results showed that some bagging ensembles ensured higher predic...
متن کاملEvolutionary Optimization of TSK Fuzzy Model to Assist with Real Estate Appraisals
A Takagi-Sugeno-Kang-type fuzzy model to assist with real estate appraisals was developed and optimized using evolutionary algorithms Three approaches were compared in the paper. The first one consisted in learning the rule base, the second one in tuning the membership functions having the rule base optimized and the third one in combining both methods in one process. Six fuzzy models comprisin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Business Informatics
سال: 2020
ISSN: 2587-814X,2587-8158
DOI: 10.17323/2587-814x.2020.2.48.63