the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

Selecting the most suitable alternative under uncertainty is considered as a critical decision-making problem that affects the success of organizations. In the selection process, there are a number of assessment criteria, considered by a group of decision makers, which often could be established in a multi-level hierarchy structure. The aim of this paper is to introduce a new hierarchical multi...

This study investigates the contributions of artificial intelligence to the development of decision support systems research subspecialties. Author cocitation analysis was applied to an author cocitation frequency matrix derived from a comprehensive database of the DSS literature (1970-1995) to uncover twelve clusters consisting of six major areas of DSS research (foundations, group DSS, model ...

sustainable coastal fishing management includes different components and factors. one of the practical initiatives to achieve sustainability is to evaluate or measure different criteria of sustainability and measuring sustainability of each system needs its own indicators. this study aimed to investigate different criteria of sustainable coastal fishing management in beach seine cooperatives (b...

Abstract A hesitant fuzzy (HF) set is an extension of the sets and a T-spherical (T-SFS) generalization spherical (SFS). HF has significant role for modelling disagreements decision-makers over membership degree element. Also, T-SFS quite effective in uncertainty decision-making (DM) problems. In this paper, we define concept (HT-SF) (HT-SFS) by combining concepts T-SFS, present some set-theore...