Decision-Making Based on Fuzzy Estimation of Quality Level for Cargo Delivery

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 317)


This chapter presents the proposed approach and algorithms for designing hierarhical decision support systems (DSS) based on fuzzy logic with flexible rule base. Special case of changing the structure of the input data’s vector for DSS in transport logistics is considered by authors. The main idea is a correction of fuzzy rule base of fuzzy DSS when different decision-makers can decrease dimension of the vector of DSS’s input coordinates according to their own priorities and criteria. Simulation results confirm the effectiveness and appropriateness of editing fuzzy knowledge bases rules for DSS which solve the problems of transport logistics.


Transport logistics DSS Fuzzy logic Knowledge base Optimization of rules 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Intelligent Information SystemsPetro Mohyla Black Sea State UniversityMykolaivUkraine

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