Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators. [PDF]
Sci RepRehman UU +3 more
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Partitioned Maclaurin symmetric mean operators in bipolar complex fuzzy sets for multiattribute decision making. [PDF]
Sci RepRehman UU +3 more
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AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM. [PDF]
Sci RepEmam W +4 more
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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators. [PDF]
Sci RepLi Y, Liu Y, Zhao D.
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Hesitant bi-fuzzy multi-attribute information fusion with expert reliability. [PDF]
Sci RepChaube S +4 more
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An innovative decision-making approach for unmanned aerial vehicle software selection using bipolar fuzzy aggregation operators. [PDF]
Sci RepAlolaiyan H +5 more
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Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection. [PDF]
Sci RepKhan S +5 more
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An algorithm for heterogeneous wireless network connections for user preferences and services. [PDF]
Sci RepKrishnan SD +6 more
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Critical dimensions in strengthening education and instructor training using fuzzy based decision algorithm and CRITIC WASPAS method. [PDF]
Sci RepZhou H, Yang R.
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A novel approach to group decision-making using generalized bipolar neutrosophic sets. [PDF]
PLoS OneFahmi A, Khan A, Abdeljawad T.
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