The Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market

Aleksander Orłowski; Edward Szczerbicki

doi:10.1016/j.procs.2014.08.215

The Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market

Abstract

The paper presents the hybrid fuzzy- SOEKS approach to the Polish Internet mortgage market, which is treated as an example of a fast changing market. Firstly, the market and market problems are described. Then, the first approach to the market problems is presented: the complete fuzzy model which was built basing on the rules. The fuzzy model is presented on one real data case. Next, the new approach, called Set of Experience Knowledge Structure (SOEKS) is adopted and presented basing on the same data. Instead of using data stored in the rules (fuzzy model), the market is presented using the experience stored in SOEKS. Finally, both approaches are compared with regard to their respective advantages and disadvantages, and some future works are described.

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Authors (2)

Aleksander Orłowski dr hab. inż.
Edward Szczerbicki prof. dr hab. inż.
- University of Newcastle School of Engineering, Faculty of Engineering and Built Environment

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DOI:: Digital Object Identifier (open in new tab) 10.1016/j.procs.2014.08.215
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Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Published in:: Procedia Computer Science pages 1185 - 1192,
ISSN: 1877-0509
Title of issue:: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 strony 1185 - 1192
Language:: English
Publication year:: 2014
Bibliographic description:: Orłowski A., Szczerbicki E..: The Hybrid Fuzzy - SOEKS Approach to the Polish Internet Mortgage Market, W: KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, 2014, ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS,.
DOI:: Digital Object Identifier (open in new tab) 10.1016/j.procs.2014.08.215
Verified by:: Gdańsk University of Technology