caa a22 4500 606160329 CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1736-4 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1736-4 The generalized hybrid weighted average operator based on interval neutrosophic hesitant set and its application to multiple attribute decision making [Elektronische Daten] [Peide Liu, Lanlan Shi] The Neutrosophic set and Hesitant set are the important and effective tools to describe the uncertain information. In this paper, we combine the interval neutrosophic sets and interval-valued hesitant fuzzy sets, and propose the concept of the interval neutrosophic hesitant fuzzy set (INHFS) in order to use the advantages of them. Then, we present the operations and comparison method of INHFS, and develop some new aggregation operators for the interval neutrosophic hesitant fuzzy information, including interval neutrosophic hesitant fuzzy generalized weighted operator, interval neutrosophic hesitant fuzzy generalized ordered weighted operator, and interval neutrosophic hesitant fuzzy generalized hybrid weighted operator, and discuss some properties. Furthermore, we propose the decision-making method for multiple attribute group decision making with interval neutrosophic hesitant fuzzy information, and give the detail decision steps. Finally, we give an illustrate example to show the process of decision making. The Natural Computing Applications Forum, 2014 Interval neutrosophic hesitant fuzzy set nationallicence Neutrosophic set nationallicence Generalized weighted aggregation (GWA) operator nationallicence Multiple attribute decision making nationallicence Liu Peide School of Management Science and Engineering, Shandong University of Finance and Economics, 250014, Jinan, Shandong, China aut Shi Lanlan School of Management Science and Engineering, Shandong University of Finance and Economics, 250014, Jinan, Shandong, China aut Neural Computing and Applications Springer London 26/2(2015-02-01), 457-471 0941-0643 26:2<457 2015 26 521 https://doi.org/10.1007/s00521-014-1736-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1736-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Peide School of Management Science and Engineering, Shandong University of Finance and Economics, 250014, Jinan, Shandong, China aut NATIONALLICENCE 700 1- Shi Lanlan School of Management Science and Engineering, Shandong University of Finance and Economics, 250014, Jinan, Shandong, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 457-471 0941-0643 26:2<457 2015 26 521