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Titlebook: Double Hierarchy Linguistic Term Set and Its Extensions; Theory and Applicati Xunjie Gou,Zeshui Xu Book 2021 The Editor(s) (if applicable)

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樓主: Chylomicron
11#
發(fā)表于 2025-3-23 11:25:00 | 只看該作者
12#
發(fā)表于 2025-3-23 17:55:23 | 只看該作者
Xunjie Gou,Zeshui XuHighlights recent research on the double hierarchy linguistic term set and its extensions.Presents methodologies and applications to practical decision-making problems under different double hierarchy
13#
發(fā)表于 2025-3-23 18:19:34 | 只看該作者
14#
發(fā)表于 2025-3-24 00:11:13 | 只看該作者
Chiara Fabbri,Alessandro Serretti play an important role in many research fields including decision-making (Liao et al. .; Xu and Wang .; Xu and Xia .), pattern recognition (Arevalillo-Herráez et al. .; Li et al. .), intelligent computing (Chen et al. .), recommended system (Liao et al. .), distance learning techniques (Gao et al.
15#
發(fā)表于 2025-3-24 02:31:29 | 只看該作者
16#
發(fā)表于 2025-3-24 07:29:48 | 只看該作者
https://doi.org/10.1007/978-981-10-6580-4process, which is an essential process in GDM for enabling sufficient communications among all experts and obtaining an accepted decision result. Therefore, in this chapter, we will first focus on developing methods to manage the consensus reaching process and ensure that all experts reach consensus
17#
發(fā)表于 2025-3-24 13:20:17 | 只看該作者
https://doi.org/10.1007/978-981-10-6580-4re difficult. Meanwhile, with the progress of science and technology and the development of network environment, the communications between people are increasingly convenient. Therefore, large-scale group decision-making (LSGDM) has become the focus of decision-making problems. Generally, a GDM prob
18#
發(fā)表于 2025-3-24 17:44:19 | 只看該作者
1434-9922 al decision-making problems under different double hierarchy.This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of i
19#
發(fā)表于 2025-3-24 22:27:07 | 只看該作者
20#
發(fā)表于 2025-3-24 23:45:43 | 只看該作者
Measure Methods for DHHFLTSs,o-Herráez et al. .; Li et al. .), intelligent computing (Chen et al. .), recommended system (Liao et al. .), distance learning techniques (Gao et al. .), electricity markets (Gao et al. .), and ontological sparse vector learning (Gao et al. .), etc.
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