Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not willing to invest too much time into study of complex formal theories. They require such decisions which can be (re)checked by human like common s...

UCTTP is a NP-hard problem, which must be performed for each semester frequently. The major technique in the presented approach would be analyzing data to resolve uncertainties of lecturers’ preferences and constraints within a department in order to obtain a ranking for each lecturer based on their requirements within a department where it is attempted to increase their satisfaction and develo...

background and objectives: evidence increasingly highlights the impact of emotional intelligence in managers on the productivity and performance of their organizations. given the importance of decision-making in the management process, this study explored the relationship between emotional intelligence and decision-making quality in hospital managers. methods: a cross-sectional questionnaire-ba...

conclusions the analysis of the findings of the present study through considering the defined categories demonstrated that, to modify and correct the turbulent atmosphere-based management, several important measures are required and need to be continually monitored. results the result of data analysis was the theme “turbulent atmosphere-based management,” which consists of five categories as fo...

Evidence theory is an important method for uncertainty reasoning. Because evidence theory can well process uncertain information, imprecise information, fuzzy information, and information without prior knowledge, it is wildly used in information fusion, expert system, fuzzy recognition, and intelligent decision system. This paper depend on original evidence theory fusion algorithm, put forward ...

Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...