On Approximation of Any Ordered Fuzzy Number by A Trapezoidal Ordered Fuzzy Number

Krzysztof Piasecki , Anna Łyczkowska-Hanćkowiak


In this paper, the model of imprecise quantity information is an ordered fuzzy number. The purpose of our study is to propose some methods of approximating any ordered fuzzy number using a trapezoidal ordered fuzzy number. The information ambiguity is evaluated by means of an energy measure. The information indistinctness is evaluated by Kosko’s entropy measure. We discuss the problem of approximation of an arbitrary ordered fuzzy number by the nearest trapezoidal ordered fuzzy number. This way, we can simplify arithmetical operations on the linear space of ordered fuzzy numbers. The set of feasible trapezoidal ordered numbers is limited by the combination of the following conditions: invariance of energy measure, invariance of entropy measure, and invariance of information support. Evaluating the influence of individual limits combinations on the utility of given approximations, two combinations of those restraints, recommended for use, were chosen. It was also indicated that one of the recommended approximation problems can be used only for ordered fuzzy numbers characterized by a low level of entropy. The obtained results are currently used in such multi-criterial decision making models as financial portfolio management, evaluation of negotiations offers, the fuzzy TOPSIS model, and the fuzzy SAW model.
Author Krzysztof Piasecki (WZ / KIiN)
Krzysztof Piasecki,,
- Department of Investment and Real Estate
, Anna Łyczkowska-Hanćkowiak - Wyższa Szkoła Bankowa w Poznaniu
Anna Łyczkowska-Hanćkowiak,,
Journal seriesSymmetry-Basel, ISSN 2073-8994, (A 30 pkt)
Issue year2018
Publication size in sheets1.05
Keywords in Englishordered fuzzy numbers; energy measure; entropy measure; information ambiguity; information indistinctness
ASJC Classification1601 Chemistry (miscellaneous); 1701 Computer Science (miscellaneous); 2600 General Mathematics; 3101 Physics and Astronomy (miscellaneous)
URL https://www.mdpi.com/2073-8994/10/10/526
Languageen angielski
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 12-03-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.64; WoS Impact Factor: 2018 = 2.143 (2) - 2018=2.041 (5)
Citation count*1 (2020-09-18)
Additional fields
UwagiNumer Specjalny - Special Issue : Fuzzy Techniques for Decision Making 2018
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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