FDA - Fuzzy Decision Analyzer

@inproceedings{35844,
   author = {Perzina, Radomír and Ramík, Jaroslav and Mielcová, Elena},
   address = {Rio de Janeiro, Brazílie},
   booktitle = {2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)},
   keywords = {analytic hierarchy process; analytic network process; feedback; fuzzy; multi-criteria decision making; pair-wise comparisons},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Rio de Janeiro, Brazílie},
   isbn = {978-1-5090-6020-7},
   pages = {967-973},
   publisher = {IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA},
   title = {FDA - Fuzzy Decision Analyzer},
   year = {2018}
}

TY  - JOUR
ID  - 35844
AU  - Perzina, Radomír - Ramík, Jaroslav - Mielcová, Elena
PY  - 2018
TI  - FDA - Fuzzy Decision Analyzer
PB  - IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
CY  - Rio de Janeiro, Brazílie
SN  - 9781509060207
KW  - analytic hierarchy process
KW  - analytic network process
KW  - feedback
KW  - fuzzy
KW  - multi-criteria decision making
KW  - pair-wise comparisons
N2  - 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.
ER  - 

PERZINA, Radomír, Jaroslav RAMÍK and Elena MIELCOVÁ. FDA - Fuzzy Decision Analyzer. Online. In \textit{2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)}. Rio de Janeiro, Brazílie: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018, p.~967-973. ISBN~978-1-5090-6020-7.