TY - JOUR
T1 - Extracting complex linguistic data summaries from personnel database via simple linguistic aggregations
AU - Pei, Zheng
AU - Xu, Yang
AU - Ruan, Da
AU - Qin, Keyun
A2 - Kabak, Özgür
N1 - Score = 10
PY - 2009/5
Y1 - 2009/5
N2 - A linguistic data summary of a given data set is desirable and human consistent for any personnel department. To extract complex linguistic data summaries, the LOWA operator is used from fuzzy logic and some numerical examples are also provided in this paper. To obtain a complex linguistic data summary with a higher truth degree, genetic algorithms are applied to optimize the number and membership functions of linguistic terms and to select a part of truth degrees for aggregations, in which linguistic terms are represented by the 2-tuple linguistic representation model.
AB - A linguistic data summary of a given data set is desirable and human consistent for any personnel department. To extract complex linguistic data summaries, the LOWA operator is used from fuzzy logic and some numerical examples are also provided in this paper. To obtain a complex linguistic data summary with a higher truth degree, genetic algorithms are applied to optimize the number and membership functions of linguistic terms and to select a part of truth degrees for aggregations, in which linguistic terms are represented by the 2-tuple linguistic representation model.
KW - Linguistic data summary
KW - personnel database
KW - genetic algorithms
KW - the 2-tuple linguistic representation model
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_99959
UR - http://knowledgecentre.sckcen.be/so2/bibref/6039
U2 - 10.1016/j.ins.2008.12.018
DO - 10.1016/j.ins.2008.12.018
M3 - Article
SN - 0020-0255
VL - 179
SP - 2325
EP - 2332
JO - Information Sciences
JF - Information Sciences
IS - 14
ER -