Mutual Information Analysis with Similarity Measure

Wang, Hongmei; Lee, Sanghyuk

doi:10.5391/ijfis.2010.10.3.218

International Journal of Fuzzy Logic and Intelligent Systems

2010

DOI: 10.5391/ijfis.2010.10.3.218

|View full text |Cite

Mutual Information Analysis with Similarity Measure

Hongmei Wang¹,

Sanghyuk Lee²

Abstract: Discussion and analysis about relative mutual information has been carried out through fuzzy entropy and similarity measure. Fuzzy relative mutual information measure (FRIM) plays an important part as a measure of information shared between two fuzzy pattern vectors. This FRIM is analyzed and explained through similarity measure between two fuzzy sets. Furthermore, comparison between two measures is also carried out.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2010

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A Fuzzy Approach to Social Worker's Turnover Intention

Jang

2010

International Journal of Fuzzy Logic and Intelligent Systems

View full text Add to dashboard Cite

This study seeks to find the factors associated with social workers' turnover intention and show us how to manage turnovers by looking for some rules affecting turnover intentions. Our investigation surveying 331 social workers reveals that social workers' turnover intentions are affected by organizational commitment, job satisfaction, and burnout. Our pattern analyses using fuzzy ID3 show that the higher their commitment, the higher their job satisfaction stemming from promotion opportunities, rewards, and personal relations with peers and bosses. In addition, turnover intentions decreases (even if burnouts--the job-related stress--are very serious) when organizational commitment increases. We come to understand that organizational commitment could be a more important variable than job satisfaction and burnouts. Such results suggest that it would be necessary to consider how to improve social workers' organization-wide commitment rather than satisfaction and burnout related to jobs and environments.

show abstract

A Fuzzy Approach to Social Worker's Turnover Intention

Jang

2010

International Journal of Fuzzy Logic and Intelligent Systems

View full text Add to dashboard Cite

show abstract

A Learning AI Algorithm for Poker with Embedded Opponent Modeling

Kim¹,

Kim²

2010

International Journal of Fuzzy Logic and Intelligent Systems

View full text Add to dashboard Cite

Poker is a game of imperfect information where competing players must deal with multiple risk factors stemming from unknown information while making the best decision to win, and this makes it an interesting test-bed for artificial intelligence research. This paper introduces a new learning AI algorithm with embedded opponent modeling that can be used for these types of situations and we use this AI and apply it to a poker program. The new AI will be based on several graphs with each of its nodes representing inputs, and the algorithm will learn the optimal decision to make by updating the weight of the edges connecting these nodes and returning a probability for each action the graphs represent.

show abstract

Existence of Periodic Solutions for Fuzzy Differential Equations

Kwun¹,

Kim²,

Hwang³

et al. 2010

International Journal of Fuzzy Logic and Intelligent Systems

View full text Add to dashboard Cite

In this paper, we investigate the existence and calculation of the expression of periodic solutions for fuzzy differential equations with three types of forcing terms, by using Hukuhara derivative. In particular, Theorems 3.2, 4.2 and 5.2 are the results of existences of periodic solutions for fuzzy differential equations c, = and >, respectively. These results will help us to study phenomena with periodic peculiarity such as wave or sound.

show abstract

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.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mutual Information Analysis with Similarity Measure

Cited by 6 publications

References 15 publications

A Fuzzy Approach to Social Worker's Turnover Intention

A Fuzzy Approach to Social Worker's Turnover Intention

A Learning AI Algorithm for Poker with Embedded Opponent Modeling

Existence of Periodic Solutions for Fuzzy Differential Equations

Contact Info

Product

Resources

About