CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Evaluating the function of reverse fund in 'Majma Hamiyari tourism development plan' using fuzzy expert system

عنوان مقاله: Evaluating the function of reverse fund in 'Majma Hamiyari tourism development plan' using fuzzy expert system
شناسه ملی مقاله: JR_IJNAA-14-7_004
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Abbas Bashiri - The CEO of Creative Company, Vice Presidency for Science and Technology, Sari, Iran
Seyed Mehdi Mirhosseini-Alizamini - Department of Mathematics, Payame Noor University (PNU), Tehran, Iran
Mikaeil Janbazi-Ghadi - The CEO of Creative Company, Vice Presidency for Science and Technology, Sari, Iran

خلاصه مقاله:
In this article, ‎according to the competition in marketing science, ‎a method for better decision-making and marketing forecast based on fuzzy logic "‎fuzzy expert system" ‎is presented regarding the tourism development plan of Majma Hamiyari owned by Abbas Bashiri‎. ‎In this research, ‎the evaluation of the system based on the calculation method of the proposed plan (reverse fund) is presented in attracting different layers of the society based on the definition of input variables such as age, ‎education, ‎marital, ‎place of residence, ‎membership in life insurance and membership in the family fund. ‎In fact, ‎the proposed method offers marketing managers a plan that concentrates the most time and financial capital for advertising for a segment of society that this calculation method (reverse fund) has the greatest effect on attracting customers. ‎The fuzzy expert system was designed with ۱۲ rules after reviewing the rules and removing similar and contradictory rules by using their degree calculation. ‎In this system, ‎by integrating some factors, ‎finally, ۶ input variables and one output variable were considered that were used by the product inference engine, ‎singleton fuzzifier and center average defuzzifier‎. ‎It was observed that the designed fuzzy expert system provides very good results.

کلمات کلیدی:
Fuzzifier‎, ‎Defuzzifier‎, ‎Fuzzy expert system

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1763485/