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The predictive power of saliva electrolytes exceeds that of saliva microbiomes in diagnosing early childhood caries
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In: J Oral Microbiol (2021)
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Technology roadmapping for competitive technical intelligence
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In: ISSN: 0040-1625 ; Technological Forecasting and Social Change ; https://hal-upec-upem.archives-ouvertes.fr/hal-01276909 ; Technological Forecasting and Social Change, Elsevier, 2015, pp.175-186. ⟨10.1016/j.techfore.2015.11.029⟩ (2015)
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An extended version of the fuzzy multicriteria group decision-making method in evaluation processes
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In: Faculty of Informatics - Papers (Archive) (2012)
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Development of a decision support approach for sustainable urban water management
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Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2011)
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Decider: A fuzzy multi-criteria group decision support system
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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Abstract:
Multi-criteria group decision making (MCGDM) aims to support preference-based decision over the available alternatives that are characterized by multiple criteria in a group. To increase the level of overall satisfaction for the final decision across the group and deal with uncertainty in decision process, a fuzzy MCGDM process (FMP) model is established in this study. This FMP model can also aggregate both subjective and objective information under multi-level hierarchies of criteria and evaluators. Based on the FMP model, a fuzzy MCGDM decision support system (called Decider) is developed, which can handle information expressed in linguistic terms, boolean values, as well as numeric values to assess and rank a set of alternatives within a group of decision makers. Real applications indicate that the presented FMP model and the Decider software are able to effectively handle fuzziness in both subjective and objective information and support group decision-making under multi-level criteria with a higher level of satisfaction by decision makers.
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Keyword:
decider:; decision; Engineering; fuzzy; group; multi-criteria; Science and Technology Studies; support; system
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URL: https://ro.uow.edu.au/eispapers/6756
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Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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Team situation awareness measure using semantic utility functions for supporting dynamic decision-making
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In: Faculty of Engineering and Information Sciences - Papers: Part A (2010)
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