Authors: Zekâi Şen
Addresses: Turkish Water Foundation, Libadiye Caddesi Doğanay Sokak No: 10 Kat: 4, Üsküdar – Istanbul, Turkey
Abstract: Conventional business transactions are replaced by intelligent methodologies in decision-making processes especially after the wide-spread use of computer facilities. Elastic decision-making procedures started to emerge since the last two decades, and they deviate from crisp decisions at a certain percentage (up to 30%). Input knowledge and information include numerical and verbal uncertainties (imprecision, vagueness, incompleteness and missing parts). Numerical uncertainty can be treated by well-known non-intelligent methodologies probabilistic, statistical, stochastic, empirical and least square techniques, but the verbal ones are left out the treatment, because computers require numerical data only. Innovative fuzzy logic system provides a domain where mathematical symbolic formulations are not considered at all, but instead, data base logic base is established first and then if necessary numerical data are entered to the fuzzy logic inference system leading to final decision. This paper proposes fuzzy logic decision making modelling, which may be used by different business management experts.
Keywords: business decision making; intelligent decision making; fuzzy logic; innovation; knowledge; logical rules; fuzzy inference systems; FIS; modelling.
International Journal of Research, Innovation and Commercialisation, 2017 Vol.1 No.1, pp.93 - 111
Received: 25 May 2015
Accepted: 08 Nov 2015
Published online: 14 Feb 2017 *