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Complex Control Models with Parametric Families of Fuzzy Constrains in Evaluation of Resort Management System
Author(s) -
Elisabeth Rakus-Andersson
Publication year - 2014
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2014.p0271
Subject(s) - computer science , parametric statistics , control (management) , fuzzy control system , fuzzy logic , fuzzy set , quality (philosophy) , data mining , value (mathematics) , order (exchange) , estimation , artificial intelligence , machine learning , mathematics , statistics , management , philosophy , epistemology , finance , economics
In this paper we propose a complex system, involving two control algorithms, to provide a final estimation of Resort Management System (RMS). This distinct RMS quality value depends on some individual appreciations, assigned by customers to basic services. In order to improve the qualities of control actions, we intend to add parametric membership functions of fuzzy sets to the fuzzification part. Another modification considers the newly designed technique of determining some essential estimates in the processing part of control to employ all entry data in the result of final decision.

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