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2014 | OriginalPaper | Buchkapitel

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

verfasst von : Yuriy P. Kondratenko, Ievgen V. Sidenko

Erschienen in: Recent Developments and New Directions in Soft Computing

Verlag: Springer International Publishing

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Abstract

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.

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Metadaten
Titel
Decision-Making Based on Fuzzy Estimation of Quality Level for Cargo Delivery
verfasst von
Yuriy P. Kondratenko
Ievgen V. Sidenko
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-06323-2_21