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 ...

Much of existing decision making research focuses on algorithms designed to measure the preferences of different experts on a finite set of alternatives with regard to multiple conflicting criteria and trade them off alongside objective problem-relevant data. Moreover, a number of analytical methods have been developed to handle informational gaps and uncertainty. However, practical decision st...

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 ...