Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...

This paper proposes a new approach based on Bonferroni mean operator and possibility degree to solve fuzzy multi-attribute decision making (FMADM) problems in which the attribute value takes the form of interval type-2 fuzzy numbers. We introduce the concepts of interval possibility mean value and present a new method for calculating the possibility degree of two interval trapezoidal type-2 fuz...

This paper investigates consumer preference uncertainty in multiattribute judgment. We investigate preference uncertainty as a function of stimulus characteristics such as attribute conflict (discrepancy among the attributes of an alternative) and attribute extremity (very high or low attribute values). Following the behavioral results reported by Fischer, Luce and Jia (2000) and the simulation...

A new measure for attribute selection, called GD, is proposed. The GD measure is based on Information Theory and allows to detect the interdependence between attributes. This measure is based on a quadratic form of the MM antaras distance and a matrix called Transin-formation Matrix. In order to test the quality of the proposed measure, it is compared with other two feature selection methods, n...

This paper presents a method called Rank Inclusion in Criteria Hierarchies (RICH) for the analysis of incomplete preference information in hierarchical weighting models. In RICH, the decision maker is allowed to specify subsets of attributes which contain the most important attribute or, more generally, to associate a set of rankings with a given set of attributes. Such preference statements le...

Online dating sites have become popular platforms for people to look for potential romantic partners. It is important to understand users’ dating preferences in order to make better recommendations on potential dates. The message sending and replying actions of a user are strong indicators for what he/she is looking for in a potential date and reflect the user’s actual dating preferences. We st...

One of the basic combinatorial optimization problems is the assignment problem that deals with assigning jobs to individuals. In traditional assignment problems, n jobs usually assign to n individuals such that the total cost is minimized or the total profit is maximized. However, in numerous real-life applications, various attributes could be considered in assignment problems while data (obj...

We explore under what conditions simple combinatorial attributes and algorithms such as the distance sequence and degree-based partitioning and refinement can be used to distinguish vertices of inhomogeneous random graphs. In the classical setting of Erdős-Renyi graphs and random regular graphs it has been proven that vertices can be distinguished in a constant number of rounds of degree-based ...

This paper describes an experiment to distinguish between two theories of human visual object recognition. According to the view-specificity hypothesis, object recognition is based on particular learned views, whereas the motion-specificity hypothesis states that object recognition depends on particular directed view-sequences. Both hypotheses imply a degree of view-bias (i.e. recognition of a ...

This paper describes an experiment to distinguish between two theories of human visual object recognition. According to the view-speciicity hypothesis, object recognition is based on particular learned views, whereas the motion-speciicity hypothesis states that object recognition depends on particular directed view-sequences. Both hypotheses imply a degree of view-bias (i.e. recognition of a gi...