Results 151 to 160 of about 2,665 (190)

A Growth-Coupled Evolutionary Strategy Enhances Heme Biosynthesis in Saccharomyces cerevisiae. [PDF]

Biotechnol J
Bang S, Kim E, Park S, Kim P.
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An integrated CRITIC and EDAS model using linguistic T spherical fuzzy Hamacher aggregation operators and its application to group decision making. [PDF]

Sci Rep
Rasool Z, Gurmani SH, Niazai S, Zulqarnain RM, Alballa T, Khalifa HAE.   +5 more
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Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation. [PDF]

Sci Rep
Bilal M, Chaoqian L, Popa IL.
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An overview on t-norms and t-conorms(2) : Applications

Journal of Japan Society for Fuzzy Theory and Systems, 1999
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Development of p,q- quasirung orthopair fuzzy hamacher aggregation operators and its application in decision-making problems. [PDF]

Heliyon
Ahmad T, Rahim M, Yang J, Alharbi R, Abd El-Wahed Khalifa H.   +4 more
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Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework. [PDF]

Sci Rep
Alolaiyan H, Hayat M, Shuaib U, Razaq A, Salman MA, Xin Q.   +5 more
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Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models. [PDF]

Sci Rep
Ye F.
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Decision support model for blockchain adoption using EDAS technique in the complex q-rung orthopair fuzzy structure. [PDF]

Sci Rep
Ali U, Li J, Zulfiqar U, Salam KBA, Ali R, Siddique I, Saqib I, Zulqarnain RM.   +7 more
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Dynamic Classifier Aggregation Using Fuzzy t-conorm Integral

2011 Seventh International Conference on Signal Image Technology & Internet-Based Systems, 2011
Fuzzy integral is a general aggregation operator,which encompasses many common aggregation operators likeweighted mean, ordered weighted mean, weighted minimumand maximum, etc. In classifier combining, it can be usedto aggregate the outputs of the individual classifiers in theteam with respect to a fuzzy measure, based on the classifierconfidences.
David Štefka, Martin Holena
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