POOL: A semantic model for approximate reasoning and its application in decision support
Journal of Management Information Systems - Special Issue: Decision Support and Knowledge-Based Systems
Acquiring strategic knowledge from experts
International Journal of Man-Machine Studies
Knowledge based management support systems
The problem of statistical power in MIS research
MIS Quarterly
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Mathematics and Computers in Simulation - Special issue: 3rd IMACS international workshop on qualitative reasoning and decision support systems
DSS theory: a model of constructs and relationships
Decision Support Systems
The emerging role of electronic marketplaces on the Internet
Communications of the ACM
WWW-based negotiation support: design, implementation, and use
Decision Support Systems
Supporting business process redesign using cognitive maps
Decision Support Systems
Understanding software operations support expertise: a revealed causal mapping approach
MIS Quarterly - Special issue on Intensive research in information systems: using qualitative, interpretive, and case methods to study information technology—third installment
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Causal Knowledge Elicitation Based on Elicitation Failures
IEEE Transactions on Knowledge and Data Engineering
Multiagent Coordination with Learning Classifier Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Agent-based merchandise management in business-to-business electronic commerce
Decision Support Systems
Presence: Teleoperators and Virtual Environments
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
A Study of the Value and Impact of B2B E-Commerce: The Case of Web-Based Procurement
International Journal of Electronic Commerce
Business Models for Internet-Based B2B Electronic Markets
International Journal of Electronic Commerce
Coalition formation among bounded rational agents
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A contextual fuzzy cognitive map framework for geographic information systems
IEEE Transactions on Fuzzy Systems
Contextual fuzzy cognitive map for decision support in geographic information systems
IEEE Transactions on Fuzzy Systems
Hi-index | 12.05 |
As the advent of the Internet, B2B negotiation process on the Internet has been given attention from both researchers and practitioners. Therefore, B2B ecommerce decision making will be a challenge for organizations in the foreseeable future. Some literature shows that important issues to reduce uncertainty in the development of long-term relationships among B2B commerce partners. In this sense, this paper proposes a new negotiation support system to incorporate causal relationships of negotiation terms in the process of B2B negotiation, on the basis of a cognitive map. The proposed a CAKES-NEGO (CAusal Knowledge-driven Expert System) suggests that causal relationships of negotiation terms could be explicitly represented by using the cognitive map as knowledge representation vehicle as well as inference engine. Cognitive maps can illustrate causal relationships among the factors describing a given object and/or problem, and it can also describe experts' tacit knowledge about a certain object. A fuzzy cognitive map (FCM) is an extension of a cognitive map with the additional capability of representing feedback through weighted causal links. FCM, a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain, is used for the causal knowledge acquisition. The objectives of this paper are to (1) suggest a fuzzy cognitive mapping based expert system that support decision process of decision makers and (2) apply it to the illustrative examples, which are B2B negotiation problems, to show the validity of our proposed system. In addition, statistical tests proved that the proposed negotiation mechanism could improve decision performance significantly in B2B negotiations.