Results 61 to 70 of about 63,851 (293)
On Kemeny Optimization Scheme for Fuzzy Set of Relations
Axioms, 2023 The present paper investigated the aggregation of individual preferences into a group fuzzy preference relation for a fuzzy set of decision-makers (DMs). This aggregation is based on the Kemeny optimization scheme.
Serhii O. Mashchenko +2 more
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Preservation of Intuitionistic Fuzzy Preference Relations [PDF]
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011 In this paper we consider some properties of intuitionistic fuzzy preference relations. We pay attention to preservation of intuitionistic fuzzy preference relations by aggregation operations. In particular, we know, that a special kind of aggregation operations (lattice operations) do not preserve intuitionistic fuzzy preference relations. We describe
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British Educational Research Journal, EarlyView.Abstract Young people in the United States (and beyond) access spaces for activism in varied ways, including the out‐of‐school time sector, where youth activism (YA) groups draw on informal learning pedagogies to engage young people in collective action.
Laura Weiner
wiley +1 more source
Multi-Granulation Fuzzy Rough Sets Based on Fuzzy Preference Relations and Their Applications
IEEE Access, 2019 In this paper, we pointed out that the transfer function for computing the fuzzy preference degree for the construction of upward/downward fuzzy relations are not additive consistent. Appropriate counterexample is given.
Peide Liu, Abbas Ali, Noor Rehman
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Evaluation of e-learning web sites using fuzzy axiomatic design based approach [PDF]
, 2009 High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality.
Arsenyan, Jbid +4 more
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A new type of preference relations: Fuzzy preference relations with self-confidence [PDF]
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 Preference relations are very useful to express decision makers' preferences over alternatives in the process of decision-making. However, multiple self-confidence levels are not considered in existing preference relations. In this study, we propose a new type of preference relations: fuzzy preference relations with self-confidence.
Wenqi Liu +4 more
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British Educational Research Journal, EarlyView.Abstract Over the years, surveys and data on learning outcomes have consistently shown inadequate levels of learning in schools in India, witnessing a further decline in recent years. Studies within the sociology of education have consistently highlighted the overarching role of class and caste on learning outcomes in schools. Neoliberal policy reforms
Akshita Rawat
wiley +1 more source
Probability-hesitant fuzzy sets and the representation of preference relations
Technological and Economic Development of Economy, 2018 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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Migrant success in UK Education: Are there lessons for government social mobility policy?
British Educational Research Journal, EarlyView.Abstract The school achievement and career aspirations of 23 sixth form students at a multi‐cultural urban academy in the UK are explored through interviews. The sample includes 16 s‐generation migrants, 6 UK‐born students with migrant parents and 1 UK‐born student, selected to represent a cohort of over 300 post‐16 learners.
Bernard Barker, Kate Hoskins
wiley +1 more source
A general unified framework for pairwise comparison matrices in multicriterial methods [PDF]
, 2009 In a Multicriteria Decision Making context, a pairwise comparison matrix $A=(a_{ij})$ is a helpful tool to determine the weighted ranking on a set $X$ of alternatives or criteria. The entry $a_{ij}$ of the matrix can assume different meanings: $a_{ij}$
CAVALLO, BICE, D'APUZZO, LIVIA
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