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NEW APPROACH TO INFORMATION AGGREGATION
Imre J. Rudas
; Institute of Mathematical and Computational Sciences, John von Neumann Faculty of Informatics, Budapest Polytechnic, Budapest, Hungary
Puni tekst: engleski, pdf (6 MB)
APA 6th Edition
Rudas, I.J. (2000). NEW APPROACH TO INFORMATION AGGREGATION. Journal of Information and Organizational Sciences, 24 (2), 163-176. Preuzeto s https://hrcak.srce.hr/78700
MLA 8th Edition
Rudas, Imre J.. "NEW APPROACH TO INFORMATION AGGREGATION." Journal of Information and Organizational Sciences, vol. 24, br. 2, 2000, str. 163-176. https://hrcak.srce.hr/78700. Citirano 19.03.2019.
Chicago 17th Edition
Rudas, Imre J.. "NEW APPROACH TO INFORMATION AGGREGATION." Journal of Information and Organizational Sciences 24, br. 2 (2000): 163-176. https://hrcak.srce.hr/78700
Rudas, I.J. (2000). 'NEW APPROACH TO INFORMATION AGGREGATION', Journal of Information and Organizational Sciences, 24(2), str. 163-176. Preuzeto s: https://hrcak.srce.hr/78700 (Datum pristupa: 19.03.2019.)
Rudas IJ. NEW APPROACH TO INFORMATION AGGREGATION. Journal of Information and Organizational Sciences [Internet]. 2000 [pristupljeno 19.03.2019.];24(2):163-176. Dostupno na: https://hrcak.srce.hr/78700
I.J. Rudas, "NEW APPROACH TO INFORMATION AGGREGATION", Journal of Information and Organizational Sciences, vol.24, br. 2, str. 163-176, 2000. [Online]. Dostupno na: https://hrcak.srce.hr/78700. [Citirano: 19.03.2019.]
In this paper new types of aggregation operators, namely absorbing-norms and parametric type of operator families called distance-based or evolutionary operators are introduced. Absorbing- norms are commutative, associative binary operators having an absorbing element from the uni! interval. A detailed discussion of properties and structure of these operators is given in the paper. Two types of distance-based operators are defined. The maximum and minimum distance operators with respect to e have the value of the element, which is farther, or nearer to e, respectively, where e is an arbitrary element of the unit interval [0,1]. The special cases e = O and e = 1lead to the max and min operators. The new operators are evolutionary types in the sense that if e is increasing starting from zero till e = 1 the min operator is developing into the max operator, while on the other side the max is transformed into the min operator. It is shown that the evolutionary operators can be constructed by means of min and max operators, which are also special cases of the operators. The maximum distance operators are special operators called uninorms and the minimum distance ones are absorbing-norms.
information aggregation; t-norms; fuzzy systems
Hrčak ID: 78700
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