FHESMM: Fuzzy Hybrid Expert System for Marketing Mix Model
Mehdi Neshat, Ahmad Baghi, Ali Akbar Pourahmad, Ghodrat Sepidnam, Mehdi Sargolzaei, Azra Masoumi · 2011
Increasing customers ’ satisfaction in this developed world is the most important factor to have a successful trade and production. New marketing methods and supervising the marketing choices will have a key role to increase the profit of a company. This paper investigates an expert system through four main principles of marketing (price, product, Place and Promotion) and their composition with a logic fuzzy system and benefiting from the experiences of marketing specialists. Comparing with the other systems, this one has special properties such as investigating and extracting different fields in which affect the customers’ satisfaction directly or indirectly as input parameters (26), using knowledge of experts to design inference system rule, composing the results of five fuzzy expert systems and calculating final result(customer’s satisfaction) and finally creating a high function expert system on management and guiding the managers to do a successful marketing in dynamic markets.