Detailed Information on Publication Record
2018
FDA - Fuzzy Decision Analyzer
PERZINA, Radomír, Jaroslav RAMÍK and Elena MIELCOVÁBasic information
Original name
FDA - Fuzzy Decision Analyzer
Authors
PERZINA, Radomír (203 Czech Republic, belonging to the institution), Jaroslav RAMÍK (203 Czech Republic, belonging to the institution) and Elena MIELCOVÁ (203 Czech Republic, belonging to the institution)
Edition
Rio de Janeiro, Brazílie, 2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), p. 967-973, 7 pp. 2018
Publisher
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10102 Applied mathematics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/47813059:19520/18:00011216
Organization unit
School of Business Administration in Karvina
ISBN
978-1-5090-6020-7
UT WoS
000451248900017
Keywords in English
analytic hierarchy process; analytic network process; feedback; fuzzy; multi-criteria decision making; pair-wise comparisons
Links
GA18-01246S, research and development project.
Změněno: 7/2/2020 10:56, RNDr. Daniel Jakubík
Abstract
V originále
There exists wide range of software products to support decision making. Main disadvantage of those software products is that they are commercial and relatively expensive and thus it prevents them to be used by small companies, students or researchers. This paper introduces a new online tool FDA - Fuzzy Decision Analyzer which is completely free and was developed to support users in multicriteria decision making situations with uncertain data. It can be also used by students to help them understand basic principles of multicriteria decision making, because it doesn't behave as a black box but displays results of all intermediate calculations. The proposed software package is demonstrated on an illustrating example of real life decision problem - selecting the best drying machine.