Intelligent business decision-making research with innovative fuzzy logic system

Şen Z.

International Journal of Research, Innovation and Commercialisation, cilt.1, sa.1, ss.93-111, 2017 (Hakemli Dergi)

Özet

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 …