stressors
发表于 2025-3-23 11:25:00
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创造性
发表于 2025-3-23 17:55:23
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
Cupping
发表于 2025-3-23 18:19:34
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因无茶而冷淡
发表于 2025-3-24 00:11:13
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.
薄膜
发表于 2025-3-24 02:31:29
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cliche
发表于 2025-3-24 07:29:48
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
天然热喷泉
发表于 2025-3-24 13:20:17
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
Anhydrous
发表于 2025-3-24 17:44:19
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
Lineage
发表于 2025-3-24 22:27:07
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边缘带来墨水
发表于 2025-3-24 23:45:43
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.