Multi-granulation fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MANDAL P.; Ranadive A.S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Fuzzy Systems Year:2019 | Volume:16 | Issue:5 Page(s): 61-76

Download Full-Text

Persian Verion

View:

448

Download:

237

Cites:

Information Journal Paper

Title

Multi-granulation fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes

Author(s)

MANDAL P. | Ranadive A.S. | Issue Writer Certificate

Keywords

Rough setQ2

fuzzy eventQ2

multi-granulation fuzzy probabilistic rough setQ2

three-way decisionsQ2

Abstract

This article introduces a general framework of multi-granulation fuzzy probabilistic Rough sets (MG-FPRSs) models in multi-granulation fuzzy probabilistic approximation space over two universes. Four types of MG-FPRSs are established, by the four different conditional probabilities of fuzzy event. For different constraints on parameters, we obtain four kinds of each type MG-FPRSs over two universes. To find a suitable way of explaining and determining these parameters in each kind of each type MG-FPRS, three-way decisions (3WDs) are studied based on Bayesian minimum-risk procedure, i. e., the decision-theoretic Rough set (DTRS) approach. The main contribution of this paper is twofold. One is to extend the fuzzy probabilistic Rough set (FPRS) to MG-FPRS model over two universes. Another is to present an approach to select parameters in MG-FPRS modeling by using the process of decision-making under conditions of risk.

Cites

No record.

References

No record.

Cite

APA: Copy

MANDAL, P., & Ranadive, A.S.. (2019). Multi-granulation fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes. IRANIAN JOURNAL OF FUZZY SYSTEMS, 16(5 ), 61-76. SID. https://sid.ir/paper/113420/en

Vancouver: Copy

MANDAL P., Ranadive A.S.. Multi-granulation fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2019;16(5 ):61-76. Available from: https://sid.ir/paper/113420/en

IEEE: Copy

P. MANDAL, and A.S. Ranadive, “Multi-granulation fuzzy probabilistic rough sets and their corresponding three-way decisions over two universes,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 16, no. 5 , pp. 61–76, 2019, [Online]. Available: https://sid.ir/paper/113420/en

Related Journal Papers