Authors:
Sergey Sokolov
and
Vladimir Sudakov
Affiliation:
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Miusskaya sq. 4, Moscow, Russia
Keyword(s):
Robotic Systems, Degree of Autonomy, Multicriteria Analysis, Fuzzy Areas, Preferences, Unification.
Abstract:
Against the background of the ever-increasing needs for robotic systems (RS) with an increased degree of autonomy and the emerging transition to their widespread use, the need for technologies for quality assessment and multi-criteria analysis of the autonomy degree of such devices is becoming more urgent. The article describes the current state of issues assessing and comparing the degree of autonomy of unmanned systems using the vector criterion. Well-known estimates of the degree of autonomy are given. The existing classification system distinguishes between informational and intellectual autonomy, which are considered in close connection. Solutions are proposed that make it possible to formulate estimates of the autonomy degree of robots in various areas of economics based on the theory of fuzzy sets. Based on the method of fuzzy areas of preference, it becomes possible to obtain estimates of the degree of autonomy, taking into account the judgments of the decision-maker. One of
the positive consequences of this approach is the unification of formulations and solutions in the tasks of information support in the RS, which, in turn, facilitates interaction between users, customers and developers.
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