fuzzy model customer interaction


FMCDM with Fuzzy DEMATEL Approach for Customers Choice Behavior Model .
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DEMATEL method is used to build the relative relationship of decision factors for customer purchasing behavior between the causes and effects of criteria into an intel- ligible structural model of the The Fuzzy DE- MATEL method has been successfully applied in many fields

Customer Need and Technology Analysis in New Product Development via Fuzzy QFD and Delphi
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scales to measure the importance level, relationship intensity and correlation intensity, and subsequently created a fuzzy multi-goal Section 4 establishes research model . Section 5 explains the analysis and results in terms of customer needs and technology respectively

ORGANIZATIONAL READINESS TO IMPLEMENT CUSTOMER RELATIONSHIP MANAGEMENT USING FUZZY ANALYTICAL NETWORK PROCESS: A CASE
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However, a comparative study of readiness assessment models and evaluation approaches used in other domains was performed is to investigate state of an organizations readiness to implement CRM based on the developed model using Fuzzy Analytical Network

A trust model using fuzzy logic in wireless sensor network
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Theoretical models considering the topic assume that experiences have already been coded into either binary or scalar [ 11]. Tae Kyung Kim, and Hee Suk Seo A Trust Model using Fuzzy Logic in Wireless Sensor Network W

A fuzzy hybrid collaborative filtering technique for web personalization
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a hybrid model for improving the performance by applying four prediction models the Markov The model -based approach has a complementary advantage: while it reduces the online processing In this work, we have proposed a new fuzzy hybrid CF technique, whose accuracy

Fuzzy logic marketing models for sustainable development
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The fuzzy logic marketing models are a powerful tool for a sustainable development of companies and institutions because it encapsulates strong marketing model conceptualisation in a linguistic and reliable presentation

Investigation and measurement of effective factors of information technology solutions on customer relationship management with fuzzy logic approach
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study, determination of criteria, sub-criteria and factors, providing the conceptual model and hierarchical a fuzzy pairwise assessment matrix, collection of expert opinion, computing fuzzy AHP analysis Figure 3 Flow chart of the preparation of FAHP based on analytical models

Fuzzy Modeling of User Behaviors and Virtual Goods Purchases in Social Networking Platforms.
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2010] and supply chain management [Chen et al. 2010]. In general, FL models are useful in cases where imprecise data are present [Tam et al. 2002] Fig. 1 presents the layered architecture of fuzzy inference model integrated with the online social platform. 421

A fuzzy reputation-based trust management scheme for cloud computing
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these rather vague words and allow automatic optimization techniques to provide useful models that, using The steps of the fuzzy reputation-based trust model are presented in figure 2. Such 1) The trust model FRTM selects the cloud service provider to have an interaction with

Mobile agent based trust management framework using fuzzy logic in B2C e-business environment
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and feedback from other customers in a social network using agents, where each customer models trustworthiness of The modeling of trustworthiness is done using dempster shafer evidential theory, fuzzy logic Our future work will be based on the extension of this model to the

Fuzzy Performance Measurement and Evaluation of Service Processes
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The need for interaction between customer and supplier during the pro- duction of a service makes it difficult to measure and evaluate the soft fac- tors of a service process The current paper presents a conceptual five stage model based on the fuzzy set theo- ry to objectify

Measuring customer satisfaction using a fuzzy inference system
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As shown in the above classification, several models and methods with different mathematical the number of surveyed customers lead to infeasibility of mathematical model The proposed method, called FCSMM ( Fuzzy Customer Satisfaction Method), is focused on the that fuzzy systems are universal approximators, ie having the poten- tial to identify a model of the system with sufficient accuracy in order to guarantee process-save and correct model feedbacks. On the other hand, in linguistic mod- elling the main objective is to obtain models

PURE: A Fuzzy Model for product upgradability and reusability evaluation for remanufacture
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uct upgrade potential takes the steps to construct the mathematical models for the key The generic mappings among the domains of customer requirements, engineering metrics PURE: A Fuzzy Model for Product Upgradability and Reusability Evaluation for Remanufacture 321

Computer fuzzy model regarding pharmacies integral perceptions by visitors
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we have defined the tasks of creating one of these types of models , based on correctness, competence, goodwill, positive atti- tude to help, etc.) through direct customer surveys Computer fuzzy model regarding pharmacies integral perceptions by visitors 159 ture control, the air

Promising fuzzy modeling and control methodologies for industrial applications
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regulations, increase in energy and raw material costs and an increasing demand for high quality customer -tailored products x and A. Depending on the form of the consequent, three main types of rule-based fuzzy models are distinguished: ¯ Linguistic fuzzy model : both the

The fuzzy evaluation of e-commerce customer satisfaction
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Fuzzy Mathematical Models in Engineering and Management Science. Amsterdam: North-Holland

e-CRM in the Insurance Industry using Adaptive Neuro Fuzzy model
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Keywords: electronic business, fuzzy classification, neuro fuzzy approach, online shop, electronic customer The Internet has changed the traditional business model of organisations in present Generally, the classification has its base on analytical models which assume a pre

Fuzzy based decision making for promotional marketing campaigns
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Common language in various variations is used by people to communicate among them, but when interaction is done The authors fuzzy model has been developed purely based on the training data set. This data contains following 16 Input variables related to Customer Data

Fuzzy -set based information retrieval for advanced help desk
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Od of it. Our proposal consists of a fuzzy set based construction that models and descriptions and it proves to be useful also for the dynamic aspects of the model . Definition: An object description Od is a pair composed of a type 2 fuzzy set FS (W, f)