Full reinforcement operators in aggregation techniques

@article{Yager1998FullRO,
  title={Full reinforcement operators in aggregation techniques},
  author={Ronald R. Yager and Alexander N. Rybalov},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={1998},
  volume={28 6},
  pages={757-69}
}
We introduce the concept of upward reinforcement in aggregation as one in which a collection of high scores can reinforce or corroborate each other to give an even higher score than any of the individual arguments. The concept of downward reinforcement is also introduced as one in which low scores reinforce each other. Our concern is with full reinforcement aggregation operators, those exhibiting both upward and downward reinforcement. It is shown that the t-norm and t-conorm operators are not… CONTINUE READING

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Zysno, “Latent connectives in human decision making,

  • P.H.J. Zimmermann
  • Fuzzy Sets Syst., vol
  • 1980
Highly Influential
3 Excerpts

and A

  • J. C. Fodor, R. R. Yager
  • Rybalov, “Structure of uninorms,” Int. J…
  • 1997
2 Excerpts

Sets, Uncertainty and Information

  • G. J. Klir, T. A. Folger, Fuzzy
  • Englewood Cliffs, NJ: Prentice-Hall,
  • 1988
1 Excerpt

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