Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Evaluating weapon systems using ranking fuzzy numbers
Fuzzy Sets and Systems
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Computer-aided machine-tool selection based on a Fuzzy-AHP approach
Expert Systems with Applications: An International Journal
Coordinated road-junction traffic control by dynamic programming
IEEE Transactions on Intelligent Transportation Systems
Optimal Track Access Rights Allocation for Agent Negotiation in an Open Railway Market
IEEE Transactions on Intelligent Transportation Systems
Intelligent negotiation behaviour model for an open railway access market
Expert Systems with Applications: An International Journal
Train service timetabling in railway open markets by particle swarm optimisation
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In an open railway access market, the Infrastructure Provider (IP), upon the receipts of service bids from the Train Service Providers (TSPs), assigns track access rights according to its own business objectives and the merits of the bids; and produces the train service timetable through negotiations. In practice, IP chooses to negotiate with the TSPs one by one in such a sequence that IP optimizes its objectives. The TSP bids are usually very complicated, containing a large number of parameters in different natures. It is a difficult task even for an expert to give a priority sequence for negotiations from the contents of the bids. This study proposes the application of fuzzy ranking method to compare and prioritize the TSP bids in order to produce a negotiation sequence. The results of this study allow investigations on the behaviors of the stakeholders in bid preparation and negotiation, as well as evaluation of service quality in the open railway market.