This paper considers Interval Analytic Hierarchy Process (Interval AHP) in group decision making for encouraging communication. Interval AHP is suitable method to handle subjective judgments since the induced results are intervals which can include uncertainty of given information. The decision makers’ opinions can be aggregated at some stages of decision making process to reach consensus. One ...

Today’s corporate managers face challenges in information technology (IT) adoption with great stakes. The waiting period for an IT investment to be realized, if any, could be long; thus word-of-mouth information propagation may not help them to make wise decisions. Though information used by early adopters to make their decisions may not be available to the public, late adopters can often obser...

This paper aims to develop a fuzzy dynamic programming approach formultiobjectivemultistage decisionmaking problems. Fuzzy dynamic programming usually convert the problems into corresponding single objective problems by an aggregate of hybrid objective values that expresses the performance of the particular stage decision. Weightassessment is an important problem arising from the evaluation of ...

Neurolaw, as an interdisciplinary field which links the brain to law, facilitates the pathway to better understanding of human behavior in order to regulate it accurately through incorporating neuroscience achievements in legal studies. Since 1990's, this emerging field, by study on human nervous system as a new dimension of legal phenomena, leads to a more precise explanation for human behavio...

Recently, many quantitative or qualitative techniques have been developed to support human resource management (HRM) activities, including Human Resource Information System (HRIS). More importantly, HRIS can include Expert System (ES), Decision Support System (DSS), and Executive Information System (EIS). As DSS and Group Support System (GSS) are able to facilitate human resources (HR) groups t...

Traditional engineering decision support systems (EDSS) cannot be well applied in the practice of construction management due to their inherent limitations in knowledge acquisition. In this paper, a new approach named DMDS is proposed, which integrates data mining technologies with decision support systems. DMDS aims to automatically extract knowledge from a large amount of historic data genera...