Results 21 to 30 of about 1,233,746 (351)
Exploring the nature of joint attention impairments in young children with autism spectrum disorder: associated social and cognitive skills [PDF]
It is generally accepted that joint attention skills are impaired in children with autism spectrum disorder (ASD). In this study, social preference, attention disengagement and intention understanding, assumed to be associated with the development of ...
Roeyers, Herbert +2 more
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The classical rough set theory was presented by Pawlak, which is mainly concerned with the approximation of sets described by a single binary relation on the universe.
Noor Rehman +3 more
doaj +1 more source
Group decision making methods of the incomplete IFPRs and IPRs [PDF]
We propose optimal priority methods on the incomplete intuitionistic fuzzy preference relation (IFPR) and the incomplete interval preference relation (IPR).
Zaiwu Gong, Chonglan Guo, Yuanyuan He
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Application of Correspondence Analysis in the Analysis of Accidental Death of Chinese Residents [PDF]
Objective To study the preference relation between residence, sex, age and causes of accidental death of Chinese residents. Methods In this study, 72 residence-sex-age groups and 8 causes of accidental death were qualitatively and quantitatively analyzed
YANG Tie-shan, LAN Zhao-xing, AN Zhi-yuan
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The probabilistic hesitant multiplicative preference relations (PHMPRs) can model the opinions of the decision makers for pairwise comparisons over alternatives using some possible values from Saaty's 1-9 scale with the probability information.
Mingwei Lin +3 more
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Relating Preference Languages By Their Expressive Power
There has been a great deal of research into methods for representing preferences, called preference representation languages. Often, research in this area deals with a limited number of similar languages, in isolation. This work establishes a new method
Michael Andrew Huelsman +1 more
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Probability-hesitant fuzzy sets and the representation of preference relations
Probability interpretations play an important role in understanding decision makers’ (DMs) behaviour in decision making. In this paper, we extend hesitant fuzzy sets to probability-hesitant fuzzy sets (P-HFSs) to enhance their modeling ability by taking ...
Bin Zhu, Zeshui Xu
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KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation
User preference information plays an important role in knowledge graph-based recommender systems, which is reflected in users having different preferences for each entity–relation pair in the knowledge graph.
Di Wu +4 more
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An Enhanced Group Recommender System by Exploiting Preference Relation
With ties among people have been much more closer, making recommendations for groups of users became a more general demand, which facilitates the prevalence of group recommender system (GRS).
Zhiwei Guo +3 more
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Preference relations are generally used to cope with multi-attribute group decision making (MAGDM), which express the experts’ preference information through pairwise comparisons.
Yuling Zhai, Zeshui Xu, Huchang Liao
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