An Innovative Multi-Criterial Decision Method for Complex Systems

This article proposes on methodological and algorithmically level an information system to support group expert decision making using Analytical Network Process (ANP). Optimization of decision making complex process is currently a significant issue in many real-life industrial, service or public sector processes. Multi-criterial decisions are at present usually made by experts individually or in committees by voting. The methodology for synthesis of decisions from multiple decision makers is universal and can be applied to a wide range of practical applications including not only industrial or business applications, but also public sector or political applications. The main contribution of this paper is the novel approach to group decision synthesis and its implementation as a web application that allows large and decentralized teams to cooperate on the same task. Individual members of teams are ranked and their weight in the synthetized decision is based on other team member‘s opinion on their proficiency in a particular matter. Pairwise comparisons provided by the decision support system are easy to grasp, because they are using fuzzy linguistic (Zadeh, 1965) variables instead of sharp values.