Decision making via generalized Bajraktarevi\'c means
Zsolt P\'ales, Pawe{\l} Pasteczka

TL;DR
This paper introduces a new class of decision-making functions based on multidimensional generalized Bajraktarević means, providing a nonlinear framework with properties like delegativity, causativity, and convexity, and explores their equality, synergy, and null-synergy characteristics.
Contribution
It defines and analyzes a novel class of decision functions derived from generalized Bajraktarević means, extending decision-making theory with new properties and characterizations.
Findings
Established key properties like delegativity, causativity, and convexity.
Solved the equality problem for these decision functions.
Characterized null-synergy decision-making functions.
Abstract
We define decision-making functions which arise from studying the multidimensional generalization of the weighted Bajraktarevi\'c means. It allows a nonlinear approach to optimization problems. These functions admit several interesting (from the point of view of decision-making) properties, for example, delegativity (which states that each subgroup of decision-makers can aggregate their decisions and efforts), casuativity (each decision affects the final outcome except two trivial cases) and convexity-type properties. Beyond establishing the most important properties of such means, we solve their equality problem, we introduce a notion of synergy and characterize the null-synergy decision-making functions of this type.
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Taxonomy
TopicsMulti-Criteria Decision Making
