AUTHOR(S):

Gia Sirbiladze, Otar Badagadze, Gvantsa Tsulaia

TITLE

New Fuzzy Aggregations.
Part I: General Decision Making System and its Information Structure

KEYWORDS

mean aggregation operators, fuzzy aggregations, fuzzy measure, fuzzy numbers, fuzzy decision making.

ABSTRACT

The Ordered Weighted Averaging (OWA) operator was introduced by R.R. Yager [58] to provide a method for aggregating inputs that lie between the max and min operators. In this article two variants of probabilistic extensions the OWA operator - POWA and FPOWA (introduced by J.M. Merigo [27, 28]) are considered as a basis of our generalizations in the environment of fuzzy uncertainty (parts II and III of this work), where different monotone measures (fuzzy measure) are used as uncertainty measures instead of the probability measure. For the identification of “classic” OWA and new operators (presented in parts II and III) of aggregations, the Information Structure is introduced where the incomplete available information in the general decision making system is presented as a condensation of uncertainty measure, imprecision variable and objective function of weights.

Cite this paper

Gia Sirbiladze, Otar Badagadze, Gvantsa Tsulaia. (2016) New Fuzzy Aggregations. Part I: General Decision Making System and its Information Structure. International Journal of Control Systems and Robotics, 1, 63-72