Abstract
The decision-making process can be complex and underestimated, where mismanagement could lead to poor results and excessive spending. This situation appears in highly complex multi-criteria problems such as the project portfolio selection (PPS) problem. Therefore, a recommender system becomes crucial to guide the solution search process. To our knowledge, most recommender systems that use argumentation theory are not proposed for multi-criteria optimization problems. Besides, most of the current recommender systems focused on PPS problems do not attempt to justify their recommendations. This work studies the characterization of cognitive tasks involved in the decision-aiding process to propose a framework for the Decision Aid Interactive Recommender System (DAIRS). The proposed system focuses on a user-system interaction that guides the search towards the best solution considering a decision-maker’s preferences. The developed framework uses argumentation theory supported by argumentation schemes, dialogue games, proof standards, and two state transition diagrams (STD) to generate and explain its recommendations to the user. This work presents a prototype of DAIRS to evaluate the user experience on multiple real-life case simulations through a usability measurement. The prototype and both STDs received a satisfying score and mostly overall acceptance by the test users.
Highlights
Introduction published maps and institutional affilThe decision-making process consists of selecting the best solution among a set of possible alternatives, considering difficult and complicated decisions [1]
While the proposal presented on this paper focuses on the development of a system that performs a project portfolio selection reflecting the DM’s preferences in the best possible form and is able to interact with the user by entering in a dialogue, this bidirectional interaction feature, to the best of the authors’ knowledge, has not been considered for solving PPS problems
The average values were obtained per question and for each of the question subsets representing the elements considered relevant for a recommender system as mentioned in the previous subsection
Summary
Introduction published maps and institutional affilThe decision-making process consists of selecting the best solution among a set of possible alternatives, considering difficult and complicated decisions [1]. In decision-making processes, such as the solution of optimization problems, the decision-maker (DM) is the person or group whose preferences are decisive for choosing an adequate solution to problems with multiple objectives (which are sometimes in conflict) and multiple efficient solutions [2]. The evaluator asks each user to carry out a set of steps: Create a project/profit matrix of the PPS problem presented, analyze a set of previously made project portfolios to solve this problem, manually select the portfolio he/she believes is the best choice. Presents the definition of a multi-objective optimization problem (MOP) This particular example presents a maximization MOP, looking to obtain the variable decision vector ~x that obtains the highest possible value for the M objectives within the function set F. It is necessary to mention that it is possible to define minimization MOPs or combine both maximization and minimization for a subset of objectives
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