This paper gives a survey of fuzzy rule base reduction methods. The research of complexity reduction methods are originated form two aspects depending of different design methodologies of the model. The first model design type comes from the original idea of Zadeh, it proposes models which are built based on expert knowledge, hence the rule base is set up manually. These models feature linguistic, and hence semantically interpretable fuzzy terms, and rules with fuzzy sets as consequents. However, it is often the case that the model contains redundant rules and/or variables, so there is a need to omit the redundancy of the model. Secondly, in the last decade data-driven fuzzy model design became more popular. This is partly due to fact that fuzzy models were found to be universal approximators, i.e. they are capable t o approximate with arbitrary accuracy any continuous control function. For fitting the model the possible best to the approximated function, these models, usually having rules with consequents which are linear function of the inputs, use tremendously large number of rules, and do not take into account the complexity and interpretability of the model. This feature also emerged the issue of rule base reduction for such systems. The present paper aims at summarizing the efforts done on the complexity reduction field briefly.
The aim of this paper is to identify generational differences, also similarities among university students in order to realise the reason of generational gap. Data for this study were collected through survey analysis (n=783). Findings indicated significant differences among X and Y generations usage of new technological innovation (i.e. also applications and devices). While Generation Y members (Millennials) are technology and social media addicted, the members of elder generation are in a different life period and due to this they are calmer, and more family oriented. Although generational gap is one of the fanciest management topic it is necessary to highlight that some characteristics are not as socially back-grounded rather than typically age relevant. On the other hand, generation gap is not so sharp the two, there is only a slight shift from X to Y or Z generations. That means the so-called cuspers (between generations' members) should also be taken into consideration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.