Fuzzy logic and data quality in real-time systems
Integrated Computer-Aided Engineering - Special issue: real-time intelligent control systems
Information quality benchmarks: product and service performance
Communications of the ACM - Supporting community and building social capital
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
AIMQ: a methodology for information quality assessment
Information and Management
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Introduction to Fuzzy Logic using MATLAB
Introduction to Fuzzy Logic using MATLAB
Fuzzy trust evaluation and credibility development in multi-agent systems
Applied Soft Computing
Accessing information sharing and information quality in supply chain management
Decision Support Systems
A complete fuzzy logical system to deal with trust management systems
Fuzzy Sets and Systems
Fuzzy computational models for trust and reputation systems
Electronic Commerce Research and Applications
Computers and Industrial Engineering
A trust model based on fuzzy recommendation for mobile ad-hoc networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Expert Systems with Applications: An International Journal
A fuzzy trust evaluation method for knowledge sharing in virtual enterprises
Computers and Industrial Engineering
The antecedent factors on trust and commitment in supply chain relationships
Computer Standards & Interfaces
iTrust'05 Proceedings of the Third international conference on Trust Management
International Journal of Computer Integrated Manufacturing - Collaborative Networks as Modern Industrial Organisations: Real Case Studies
Hi-index | 0.00 |
Assessing customer trust in suppliers with regards to its influencing factors is an important open issue in supply chain management literature. In this paper, a customer trust index is designed as the trust level arising from the information sharing degree and quality, related to the information shared by a supplier with his customer. The customer trust level is evaluated using a fuzzy decision support system integrating information sharing dimensions. The core is a rule-based system designed using the results of questionnaires and interviews with supply chain experts. Several tests were generated in order to analyze the impact of the different information sharing attributes on the customer trust index. The developed approach is then applied to a real supply chain from the textile industry. Results show large differences of weight and impact between the different information-related factors that build the customer trust index. It is also shown that the proposed system has an important role in ensuring the objectivity of the trust assessment process and in helping decision makers evaluate their business partners.