In this paper, we deal with ranking problems arising from various data mining applications where the major task is to train a rank-prediction model to assign every instance a rank. We first discuss the merits and potential disadvantages of two existing popular approaches for ranking problems: the ‘Max-Wins’ voting process based on multi-class support vector machines (SVMs) and the model based o...

In this work we recall and discuss optimality criteria for decision making under uncertainty with respect to different assumptions concerning the structure of the information available. First, an overview of the basic concepts of classical decision theory is given. Here, particular emphasis is placed on explaining classical decision criteria (i.e. criteria for the case that the uncertainty can ...

Many maintenance decisions require the evaluation of alternative solutions in terms of complex maintenance criteria such as cost, repairability, reliability and availability requirements. Such problems can be formulated as multi-criteria decision making problems. The relative importance of maintenance criteria is difficult to be assessed, and therefore a sensitivity analysis becomes a necessity...

While most organizational and social decision making is done in a group or collective mode. there are few guides or evaluative criteria for judging when a high-quality outcome has been reached. Most past studies of group decision making have been conducted in laboratories using student subjects and factual problems with correct answers as means for judging outcome quality. Such proxies are roug...

Interavl type-2 fuzzy numbers (IT2FNs) are used in many real problems such as multiple attribute decision making (MADM) problems, to model the opinions/judgments of experts. This paper, using centroid points and uncertainty degrees of IT2FNs, presents a new method to rank them. Also, we present new methods based on Choquet integral and various types of Power average to aggregate a set of IT2FNs...

An axiomatic approach for solving a multi-criteria decision making problem is studied in the paper, which generally allows reducing a set of Pareto optimal solutions. The information about criteria in the problem is represented as the decision maker judgments of a special type. The judgments have a clear behavior interpretation and can be used in various decision problems. It is shown in the pa...

Multi-criteria decision analysis, sometimes called multi-criteria decision making, is a discipline aimed at supporting decision makers faced with making numerous and sometimes conflicting evaluations. Multi-criteria decision analysis aims at highlighting these conflicts and providing a compromised solution in a transparent process. This paper introduces the application of soft-dominance relatio...

The ultimate goal of an agriculture research system is on-time, correct and clear response to the problems and expectations of agriculture household and stakeholders. In this respect, though, due to variation and frequency of the problems and expectations and as well as many limitations such as financial deficit, short time and shortage in work force and equipments etc, the system cannot be tho...