Metadata language
Towards more human consistent reasoning via intuitionistic fuzzy sets
Subtitle:Raport Badawczy = Research Report ; RB/59/2002
Creator:Szmidt, Eulalia : Autor ; Kacprzyk, Janusz (1947– ) : Autor
Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[6] pages ; 21 cm ; Bibliography p. [6]
Type of object: Subject and Keywords:Imperfect information ; Rozmyte relacje preferencji ; Stomach problem ; Fuzzy relation equation ; Problem żołądkowy ; Rozmyte równanie zależności
Abstract:Intuitionistic fuzzy sets, due to of an additional degree of freedom, can be viewed as a generalization of fuzzy sets. The additional degree of freedom makes a better modelling of imperfect information possible. We propose the use of intuitionistic fuzzy sets for a more human consistnet reasoning under imprecise knowledge. An example of a medical database is considered. Employing intuitionistic fuzzy sets, we can express a hestitation concerning both the patients and illnesses. An illness for each patient is found by looking for the smallest distance between symptoms that are characteristic for a patient, and symptoms describing illnesses. Our new approach can help avoid drawbacks of the max-min-max rule that is usually employed.
Relation:Raport Badawczy = Research Report
Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
Projects co-financed by: Access:This content is hosted outside the digital library.
Click the link below to view the content.
https://www.ibspan.waw.pl/~alex/OZwRCIN/WA777_174883_RB-2002-59_Towards more human consistent reasoning via intuitionistic fuzzy sets_content.pdf