Title :
Evaluating the reliability of emergency logistics system based on fuzzy linguistic approach
Author_Institution :
Coll. of Basic Sci., Harbin Univ. of Commerce, Harbin, China
Abstract :
This paper proposes a linguistic fuzzy method to evaluate the reliability of emergency logistics system based on incomplete weight information. The proposed methodology involves two mechanisms: (1). Establish the fuzzy comment set about sub-criteria and criteria by linguistics information; (2). Compute the aggregated ratings of the criteria and the emergency logistics system reliability of emergency logistics alternative using the linguistic weighted averaging. Empirical results are given to verify the practicality and effectiveness of the proposed approach.
Keywords :
computational linguistics; emergency management; fuzzy set theory; logistics; reliability; aggregated ratings; emergency logistics alternative; emergency logistics system reliability; fuzzy comment set; fuzzy linguistic approach; incomplete eight information; linguistic fuzzy method; linguistic weighted averaging; linguistics information; Abstracts; Forecasting; Indexes; Emergency logistics system; Fuzzy linguistic; Fuzzy set;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359533