This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision ...

Multi-attribute group decision-making (MAGDM) has received increasing attentions in both engineering and economy fields. Correspondingly, many valuable methods have been developed to solve various evaluation indices, consistency, closeness and uniformity, are proposed to measure the results of MAGDM from different aspects. By comparing the individual overall preference values with the collectiv...

P and behavioral economists have documented a variety of judgmental flaws that people make when they face novel decision situations. Similar flaws arise when decision analysts work with decision makers to assess their preferences and trade-offs, because the methods the analyst uses are often unfamiliar to the decision makers. In this paper we describe a process designed to mitigate the occurren...

Consensus reaching models are widely applied in group decision making problems to improve the group’s consensus level before making a common decision. Within the context of the group Analytic Hierarchy Process (AHP), a novel consensus reaching model in a dynamic decision environment is proposed. A Markov chain method can be used to determine the decision makers’ weights of importance for the ag...

This study describes a consistency-based approach for multiperson decision-making (MPDM) in which decision-makers’ suggestions are expressed as incomplete interval-valued fuzzy preference relations. The presented utilizes Lukasiewicz’s t-norm conjunction with additive reciprocity to obtain comprehensive interval valued relations from each expert, and the transitive closure formula also produces...

We consider the problem of outcomes based budget allocations to prevention programs across different states to achieve greater geographical healthcare equity. We use Diabetes Prevention and Control Programs (DPCP) by the Center for Disease Control and Prevention (CDC) as an example. We present a robust weighted sum model for outcome adjusted budget allocation. An inverse linear programming tech...

have resulted in a decision tool capable of handling imprecise information in complex decision situations. Some of the research has been directed towards developing decision analytical representation models and algorithms. The decision tool takes intervals as well as comparative relations as input, and incorporates a level of sensitivity analyses embedded into the representation instead of appl...

Supplier selection can be considered as a complicated multi criteria decision-making problem. In this paper the problem of supplier selection is studied in the presence of conflicting evaluations and insufficient information about the criteria and different attitudes of decision makers towards the risk. Most of fuzzy approaches used in multicriteria group decision making (MCGDM) are non-intuiti...