Now showing items 1-6 of 6
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
Nowadays in the social network based decision making processes, as the ones involved in e-commerce and e-democracy, multiple users with di erent backgrounds may take part and diverse alternatives might be involved. This ...
Confidence Based Consensus in Environments with High Uncertainty and Incomplete Information
(IOS Press, 2017)
With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases many experts, and a potentially huge number of different alternatives, leading ...
Managing Incomplete Preference Relations in Decision Making: A Review and Future Trends
In decision making, situations where all experts are able to efficiently express their preferences over all the available options are the exception rather than the rule. Indeed, the above scenario requires all experts to ...
Modelling Execution Tracing Quality by Means of Type-1 Fuzzy Logic
(Óbuda University, Hungarian Academy of Engineering and IEEE Hungary Section., 2013)
Execution tracing quality is a crucial characteristic which contributes to the overall software product quality though the present quality frameworks neglect this property. In the scope of this pilot study the authors ...
A social network based approach for consensus achievement in multiperson decision making
Nowadays we are living the apogee of the Internet based technologies and consequently web 2.0 communities, where a large number of users interact in real time and share opinions and knowledge, is a generalized phenomenon. ...
Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations
Intuitionistic preference relations constitute a flexible and simple representation format of experts’ preference on a set of alternative options, while at the same time allowing to accommodate degrees of hesitation inherent ...