The common methods for studying heuristics in memorybased multiattribute decisions provide outcome and response time data but leave the foregoing cognitive processes in the dark. We demonstrate a novel process-tracing method that uses the looking-at-nothing phenomenon to study memory search and cue processing via eye tracking. Participants learned cue information of decision alternatives in spa...

One of the most important steps in formulating and solving a multiattribute decision-making (MADM) problem is weighting attributes. Most existing methods are based on judgments by experts/decision-makers, which prone to several cognitive biases, making it necessary examine these biases MADM develop debiasing strategies. This study uses experimental analysis look at equalizing bias—one main wher...

In this paper we provide a way to generate a class of weighted average operator from n-dimensional overlap functions and aggregation functions. These weighted average operators are used in an algorithm of a multiattribute group decision making problem based on decision matrix. An illustrative example is considered with the application of our method for two specific weighted average operators of...

The concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets. The theory of intuitionistic fuzzy sets is well suited to dealing with vagueness. Recently, intuitionistic fuzzy sets have been used to build soft decision making models that can accommodate imprecise information, and two solution concepts about the intuitionistic fuzzy core and the consensus winner for...

The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) developed by Srinivasan and Shocker [V. Srinivasan, A.D. Shocker, Linear programming techniques for multidimensional analysis of preference, Psychometrika 38 (1973) 337–342] is one of the existing well-known methods for multiattribute decision making (MADM) problems. However, the LINMAP only can deal with MADM...