Customer satisfaction measurement using fuzzy neural network

التفاصيل البيبلوغرافية
العنوان:	Customer satisfaction measurement using fuzzy neural network
المؤلفون:	Ayad Hendalianpour, Jafar Razmi
المصدر:	Decision Science Letters, Vol 6, Iss 2, Pp 193-206 (2014)
بيانات النشر:	Growing Science, 2014.
سنة النشر:	2014
المجموعة:	LCC:Analysis
مصطلحات موضوعية:	Customer satisfaction measurement, Fuzzy neural network, Linguistic variable, Fuzzy inference system, Analysis, QA299.6-433, Business mathematics. Commercial arithmetic. Including tables, etc., HF5691-5716
الوصف:	Investigating the Customer Satisfaction Measurement (CSM) plays an important role in determining the range of customer needs and expectations resulting from delivered products or received services. In this research, a novel approach is proposed for measuring the customer’s satisfaction measurement. Due to ambiguity and lack of information related to evaluation criteria, in the proposed model, the customer feedbacks are considered as linguistic terms and due to the dominance of non –linear relations on behaviors and judgments of human, the result is obtained using a Fuzzy Neural Network. In continuation, roles of the fuzzy inference system for customer’s satisfaction are defined and determined for different conditions of customer’s judgments. Applicability of the proposed model has been successfully implemented through a case study for investigating the customer’s satisfaction on the basis of both qualitative and quantitative inputs.
نوع الوثيقة:	article
وصف الملف:	electronic resource
اللغة:	English
تدمد:	1929-5804 1929-5812
Relation:	http://www.growingscience.com/dsl/Vol6/dsl_2016_26.pdf; https://doaj.org/toc/1929-5804; https://doaj.org/toc/1929-5812
DOI:	10.5267/j.dsl.2016.8.006
URL الوصول:	https://doaj.org/article/ff72fec47c24457891d4a685d56e820e
رقم الانضمام:	edsdoj.ff72fec47c24457891d4a685d56e820e
قاعدة البيانات:	Directory of Open Access Journals

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الوصف
تدمد:	19295804 19295812
DOI:	10.5267/j.dsl.2016.8.006