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We propose weighted aggregation algorithms for creating general idempotent weighted aggregators of n variables derived from related symmetric idempotent aggregators of two variables. This computational method, together with interpolative aggregation,… Click to show full abstract
We propose weighted aggregation algorithms for creating general idempotent weighted aggregators of n variables derived from related symmetric idempotent aggregators of two variables. This computational method, together with interpolative aggregation, can be used for the development of general idempotent logic aggregators that satisfy a variety of conditions necessary for building decision models in the area of weighted compensative logic.
Keywords:
aggregation;
aggregation based;
weighted aggregation;
idempotent weighted;
binary aggregation;
based binary
Journal Title: International Journal of Intelligent Systems
Year Published: 2017
Link to full text (if available)
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Journal Title: International Journal of Intelligent Systems
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!