Collaborative Intelligent Diagnosis on Supply Chain Partnerships Based on the Integration of ES and SVMs

To identify trust states among supply chain partners, expert systems (ES) and support vector machines (SVMs) were integrated to diagnose supply chain partnerships collaboratively. As a result, coordinated supply chain cooperations could be guaranteed. After analyzing the research evolution of inter-firm relationships in supply chain, trust in partnerships, and cooperation actualization process, the concept of supply chain partnerships diagnosis (SC-PD) was proposed. Intelligent collaborative trust diagnosis process, algorithms, and reasoning structure of supply chain partnerships based on hybrid reasoning which was composed of rule-based reasoning (RBR), soft case-based reasoning (SCBR), and SVMs were built up respectively. At last, the hybrid reasoning technique of partnerships diagnosis was applied into the diagnosis on trust of financial-control competence of chain partners