This paper proposes a chi-square method (CSM) to obtain a priority vector for group 11 decision making (GDM) problems where decision-makers’(DMs’) assessment on alternative is 12 furnished as incomplete reciprocal preference relations with missing values. Relevant theorems 13 and iterative algorithm about CSM are proposed. Satty’s consistency ratio concept is adapted to 14 judge whether an inco...

Abstract Graph model for conflict resolution (GMCR) is a robust tool resolving disagreements among parties with contradictory interests in potential conflict. In GMCR, decision-makers (DMs) and their preferences are determined. The DMs defined as people, parties, or groups having the authority to make decisions power get these approved. This definition excludes some stakeholders no ability exer...

A Decision Support System (DSS) is an interactive computer-based system that helps decision makers (DMs) utilise data and models to solve complex and unstructured problems. Procurement or the tendering process is a decision problem of paramount importance for any business. A critical and vital procurement task is to select the best contractor during the tendering or bidding process. A case stud...

A fuzzy option prioritization technique is developed to efficiently model uncertain preferences of DMs in strategic conflicts as fuzzy preferences by using the decision makers’ (DMs’) fuzzy truth values of preference statements at feasible states within the framework of the Graph Model for Conflict Resolution. The preference statements of a DM express desirable combinations of options or course...

In this paper, we extend the notion of person by person optimization to binary decision spaces. The novelty of our approach is the adaptation to a dynamic team context of notions borrowed from the pseudo-boolean optimization field as completely local-global or unimodal functions and sub-modularity. We also generalize the concept of pbp optimization to the case where the Decision Makers (DMs) ma...

Unmanned aerial vehicles (UAVs, drones) and similar unmanned units are becoming more involved in various spheres, such as agriculture, emergency situations, battles, etc. however, decision making there still a lot they can be improved to avoid human direct involvement those problems. To advance the problem we develop tools make UAV autonomously effective makers, particularly, able analyze prope...

The paper proposes TOPSIS method for solving multi-objective multi-level programming 13 problem (MO-MLPP) with fuzzy parameters via fuzzy goal programming (FGP). At first, λ cut 14 method is used to transform the fuzzily described MO-MLPP into deterministic MO-MLPP. Then, 15 for specific λ , we construct the membership functions of distance functions from positive ideal 16 solution (PIS) and ne...

Abstract. A key challenge, perhaps the central challenge, of multiobjective optimization is how to deal with candidate solutions that are ultimately evaluated by the hidden or unknown preferences of a human decision maker (DM) who understands and cares about the optimization problem. Alternative ways of addressing this challenge exist but perhaps the favoured one currently is the interactive ap...