Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making
Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays. In such problems a large group of decision makers are involved in the decision process and elicit linguistic information that are usually assessed in different linguistic scales with diverse granularity b...
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| Published in | IEEE transactions on systems, man, and cybernetics. Systems Vol. 47; no. 11; pp. 3063 - 3076 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.11.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2168-2216 2168-2232 |
| DOI | 10.1109/TSMC.2016.2560521 |
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| Abstract | Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays. In such problems a large group of decision makers are involved in the decision process and elicit linguistic information that are usually assessed in different linguistic scales with diverse granularity because of decision makers' distinct knowledge and background. To keep maximum information in initial stages of the linguistic LGDM problems, the use of multigranular linguistic distribution assessments seems a suitable choice, however, to manage such multigranular linguistic distribution assessments, it is necessary the development of a new linguistic computational approach. In this paper, it is proposed a novel computational model based on the use of extended linguistic hierarchies, which not only can be used to operate with multigranular linguistic distribution assessments but also can provide interpretable linguistic results to decision makers. Based on this new linguistic computational model, an approach to linguistic large-scale multiattribute group decision making is proposed and applied to a talent selection process in universities. |
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| AbstractList | Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays. In such problems a large group of decision makers are involved in the decision process and elicit linguistic information that are usually assessed in different linguistic scales with diverse granularity because of decision makers' distinct knowledge and background. To keep maximum information in initial stages of the linguistic LGDM problems, the use of multigranular linguistic distribution assessments seems a suitable choice, however, to manage such multigranular linguistic distribution assessments, it is necessary the development of a new linguistic computational approach. In this paper, it is proposed a novel computational model based on the use of extended linguistic hierarchies, which not only can be used to operate with multigranular linguistic distribution assessments but also can provide interpretable linguistic results to decision makers. Based on this new linguistic computational model, an approach to linguistic large-scale multiattribute group decision making is proposed and applied to a talent selection process in universities. |
| Author | Zhen Zhang Chonghui Guo Martinez, Luis |
| Author_xml | – sequence: 1 surname: Zhen Zhang fullname: Zhen Zhang email: zhangzhen@mail.dlut.edu.cn organization: Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian, China – sequence: 2 surname: Chonghui Guo fullname: Chonghui Guo email: guochonghui@tsinghua.org.cn organization: Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian, China – sequence: 3 givenname: Luis surname: Martinez fullname: Martinez, Luis email: luis.martinez@ujaen.es organization: Dept. of Comput. Sci., Univ. of Jaen, Jáen, Spain |
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| Snippet | Linguistic large-scale group decision making (LGDM) problems are more and more common nowadays. In such problems a large group of decision makers are involved... |
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| SubjectTerms | Assessments Computation Computational modeling Cybernetics Decision making Decision support systems Group decision making (GDM) Hierarchies Indexes large-scale GDM (LGDM) linguistic distribution assessment Linguistics multigranular linguistic information Numerical models Pragmatics |
| Title | Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making |
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