fuzzy model of customer satisfaction
ECSI is used for measuring this concept in e-commerce by evaluating the criteria of customers’ cognition and expectation, customers’ loyalty behavior and grumble behavior. As there exists uncertain information in the evaluation of customer satisfaction, this paper uses fuzzy logic to calculate ECSI
Propose a model for customer purchase decision in B2C websites using adaptive neuro- fuzzy inference system
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If companies are to enjoy long-term success in the Internet marketplace, they must effectively manage the complex, multidimensional process of building online consumer trust. The online environment and the quality and usability of websites help the browser and consumer
A customer satisfaction model based on fuzzy TOPSIS and SERVQUAL methods
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Service quality is one of the most important factors that increases the use of public transportation system (PTS). Many problems such as traffic congestion, air and noise pollution, and energy consumption can be solved by improvements of service quality in PTS
Hierarchical alpha-cut fuzzy c-means, fuzzy ARTMAP and Cox regression model for customer churn prediction
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As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In earlier studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by
Recognition and Ranking the Effective Factor on Customer Satisfaction through Kano Model and Fuzzy AHP
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Nowadays, the ever-increasing importance of customer for the companies is clear for everyone. The governmental organizations are not exception. These organizations encounter with addressees who are fully aware of their rights and these organizations
An intelligent fuzzy inference model for customer requirement management
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Being able to capture, understand and respond to the needs and wants of the customers is essential to the survival and prosperity of an organisation. Some of the well known contemporary techniques and methodologies for analysing and processing the customer
A Model for Customer Segmentation Based On Loyalty Using Data Mining Approach and Fuzzy Concept in Iranian Bank
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Data mining is a new technique which can help researchers to discover datas patterns and predict the future behaviors. Predicting customers loyalty, specifically bank customers, is a concept which has attracted more attentions recently. This study has proposed a new
Exploring customer satisfaction of online shopping based on hybrid fuzzy MADM model
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Online shopping provides convenience to Internet shoppers for business activities. However, the commercial behavior of online shopping changed the customer to collect the pattern of information. This change has created questions related to customer satisfaction in
A Fuzzy -stochastic Inventory Model without Backorder under Uncertainty in Customer Demand.
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In the current business scenario, a vital aspect of a realistic inventory model is to accurately estimate the customer demand especially in uncertain environment. Keeping this fact in mind recent trend of research includes uncertain demand, either random or fuzzy . In this
CUSTOMER CHURN PREDICTIVE ANALYTICS USING RELATIVE CHURN FUZZY FEATURE-WEIGHT MODEL IN TELECOMS
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As data on customer activities and characteristics becomes increasingly available to companies, metrics for feature transformation are evolving towards efficient churn prediction. While, the quality of a predictive model is dependent on the quality of its feature, the
Hybrid model for customer clustering in banks: Bases on Fuzzy relation clustering approach
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Clustering has absolutely useful information to explore data structures and has been employed in many places. It organizes a set of objects into similar groups called clusters, and the objects within one cluster are both highly similar and dissimilar with the objects in
APPLICATION OF FUZZY LOGIC FOR CUSTOMER NEEDS ANALYSIS: A CASE STUDY ON ONE DIMENSIONAL ATTRIBUTE OF KANO MODEL
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The Kano model can be used to translate the voice of the customer (VOC) into product specifications. Kano model offers a customer -oriented approach, supporting design teams in developing new products based on an assessment of customer needs. Customer needs are
The construction of customer satisfaction model of ideological and political educ ation for college counselors basing on fuzzy mathematics theory
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The method of fuzzy mathematics is introduced to evaluate the teaching satisfaction of the ideological and political education by the counselors. In accordance with the steps for the construction of the model , the model variables are set and the fuzzy mathematics theory is
Providing a Model of the Relationship between Software, Hardware, and Organizational Factors in the Success of Implementing a Comprehensive Customer
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In new business processes, customer satisfaction is an important and vital part of the organizations goals, and senior executives know well that their success in achieving the goals of the organization depends on customer satisfaction (Heirati). On the other