INFORMATICA International Journal Main Page Editorial Board Abstracting/Indexing Instructions to Authors Subscription Information Contents Author Index Papers in Production		INFORMATICA, 2016, Vol. 27, No. 4, 767-798 © Institute of Mathematics and Informatics, DOI: http://dx.doi.org/10.15388/Informatica.2016.111 ISSN 0868-4952 An Approach to Hesitant Fuzzy Group Decision Making with Multi-Granularity Linguistic Information Fanyong MENG1, Dao ZHOU, Xiaohong CHEN School of International Audit, Nanjing Audit University, Nanjing 211815, China, School of Business, Central South University, Changsha 410083, China E-mail: mengfanyongtjie@163.com, zhoudao-de@163.com, cxh@csu.edu.cn Abstract The 2-tuple linguistic computational model is an important tool to deal with linguistic information. To extend the application of hesitant fuzzy linguistic term sets and avoid information loss, this paper introduces hesitant fuzzy 2-tuple linguistic term sets that are expressed by using several symbolic numbers in [0, 1]. Considering the order relationship between hesitant fuzzy 2-tuple linguistic term sets, measures of expected value and variance are defined. Meanwhile, several induced generalized hesitant fuzzy 2-tuple linguistic aggregation operators are defined, by which the comprehensive attribute values of alternatives can be obtained. Then, models for the optimal weight vector on a decision maker set, on an attribute set and on their ordered sets are constructed, respectively. Furthermore, an approach to multi-granularity group decision making with hesitant fuzzy linguistic information is developed. Finally, an example is selected to illustrate the feasibility and practicality of the proposed procedure. Keywords: group decision making; 2-tuple linguistic computational model; hesitant fuzzy linguistic term set; aggregation operator 1Corresponding author. To preview Lithuanian abstract see full article text To preview full article text in PDF format click here You could obtain free Acrobat Reader from Adobe
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