Multiple attribute decision making is important in many decision making contexts where tradeoffs are involved. The use of qualitative input has proven especially attractive, allowing subjective inputs to be used. However, such systems inherently involve uncertainty with respect to parameter inputs, especially when multiple decision makers are involved. This paper presents the method of grey rel...

This short article briefly presents the main features of the multiple criteria sorting tool TOMASO (Technique for Ordinal MultiAttribute Sorting and Ordering) and its implementation. Its main particularities are the possibility to consider interacting points of view and the use of the Choquet integral as a discriminant function. The capacities are learnt through the use of protoypes, which are ...

The Analytic Hierarchy Process (AHP) (Saaty, 1990) has been accepted as a leading multiattribute decision model both by practitioners and academics. AHP can solve decision problems in various fields by the prioritization of alternatives. The heart of the most familiar version of the AHP is the Saaty’s eigenvector method (EM) which approximates an positive reciprocal matrix n n× ) ( ij a A = , ,...

Previous research at Carnegie Mellon University introduced a systematic method for public participation in risk ranking. The method has been tested successfully with participants from the United States using school risks and environmental risks. To explore the viability of the method in another cultural setting, we tested it with Chinese participants, because previous research has shown that Am...

Fermatean fuzzy set theory is emerging as a novel mathematical tool to handle uncertainties in different domains of real world. sets were presented order that uncertain information from quite general real-world decision-making situations could be mathematically tractable. To purpose, these are more flexible and reliable than intuitionistic Pythagorean sets. This paper presents hybrid model, nam...

A number of approaches for multiattribute selection decisions exist, each with certain advantages and disadvantages. One method that has recently been developed, called the Hypothetical Equivalents and Inequivalents Method (HEIM) supports a decision maker (DM) by implicitly determining the importances a DM places on attributes using a series of simple preference statements. In this and other mu...