Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of (HFS) HFS (DHFS), not only reflects the attitude decision-makers (DMs), but also probability DMs. Score function number weighting method are very in multi-attribute group decision-making (MAGDM) issues. In many environments, score entropy measure ha...

This study aims to further investigate the Unconscious Thought Theory (UTT, Dijksterhuis & Nordgren, 2006), namely whether individual differences account for differences in choice made after either deliberation (conscious thought, CT) or distraction (unconscious thought, UT). Also, subjective weighting was considered and choice options were constructed following individual preferences, hence av...

The dynamic multi-attribute decision making problems with intuitionistic fuzzy information are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy variable are defined, and two new aggregation operators: dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator and uncertain dynamic intuitionistic fuzzy weighted averaging (UDIFWA) operator are pr...

During the last few years, more and more researchers have been applying IFSs to multi-attribute decision making under various different situations, and a lot of work has been done (Chen and Tan 1994; Hong and Choi 2000; Xu and Yager 2006; Boran et al. 2009; Xu 2010a, c; Zhao 2009; Zhao et al. 2010; Tan and Chen 2010; Wei 2010a; Xu and Xia 2012a; Xu and Cai 2010; Wu and Chen 2011, etc.). The con...

In this article we define some aggregation operators for bipolar-valued hesitant fuzzy sets. These operations include bipolar-valued hesitant fuzzy ordered weighted averaging (BPVHFOWA) operator, bipolar-valued hesitant fuzzy ordered weighted geometric (BPVHFOWG) operator and their generalized forms. We also define hybrid aggregation operators and their generalized forms and solved a decision-m...

The multi-attribute decision making problem engages in the propagation of information, which often is highly uncertain or imprecise. Cerebellar Model Articulation Controller (CMAC) belongs to the family of feed-forward networks with a single linear trainable layer. CMAC has the feature of fast learning, and is suitable for modeling any non-linear relationship. Combining fuzzy linguistic semanti...

The paper investigates some similarity measures in interval bipolar neutrosophic environment for multi-attribute decision making problems. At first, we define Hamming and Euclidean distances measures between interval bipolar neutrosophic sets and establish their basic properties. We also propose two similarity measures based on the Hamming and Euclidean distance functions. Using maximum and min...