Open AccessApplication of neuro-fuzzy system for predicting the success of a company in public procurement
Author(s) -
Dragan Pamučar,
Darko Božanić,
Adis Puška,
Dragan Marinković
Publication year - 2022
Publication title -
decision making. applications in management and engineering/decision making: applications in management and engineering
Language(s) - English
Resource type - Journals
eISSN - 2620-0104
pISSN - 2560-6018
DOI - 10.31181/dmame0304042022p
Subject(s) - procurement , call for bids , neuro fuzzy , sustainability , computer science , fuzzy logic , adaptive neuro fuzzy inference system , position (finance) , artificial intelligence , business , operations research , engineering , marketing , fuzzy control system , finance , biology , ecology
The paper presents a neuro-fuzzy system for evaluating and predicting the success of a construction company in public tenders. This model enables companies to operate sustainably by assessing their own position in the market. The model was based on data from a seven-year study, where data from the first six years were used to adjust the model, while data from the last year of the study were used for testing and validation. The neuro-fuzzy model was tuned using the Artificial Bee Colony algorithm.