bci -代数的超犹豫模糊p理想

IF 1.3 Q2 MATHEMATICS, APPLIED
M. Mohseni Takallo, R. Borzooei, Y. Jun
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引用次数: 2

摘要

在BCK/ bci -代数中引入了超犹豫模糊p-理想的概念,并研究了相关性质。给出了BCK/ bci -代数的超犹豫模糊p-理想的一个表征。研究了超犹豫模糊理想与超犹豫模糊理想之间的关系。给出了一个超犹豫模糊理想是超犹豫模糊p理想的条件。研究了p-半简单bci -代数的性质。建立了超犹豫模糊p理想的可拓性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sup-Hesitant Fuzzy p-Ideals of BCI-Algebras
The concept of Sup-hesitant fuzzy p-ideal in BCK/BCI-algebras is introduced, and related properties are investigated. A characterisation of Sup-hesitant fuzzy p-ideal of BCK/BCI-algebras is provided. Relations between Sup-hesitant fuzzy p-ideal and Sup-hesitant fuzzy ideal are investigated. Conditions for a Sup-hesitant fuzzy ideal to be a Sup-hesitant fuzzy p-ideal are provided. Characterisation of p-semisimple BCI-algebra is considered. Extension property for Sup-hesitant fuzzy p-ideal is established.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
40 weeks
期刊介绍: Fuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work, the journal focuses on applications. Research papers, short communications, and reviews are welcome. Technical topics within the scope include: (1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classification c. Fuzzy information processing d. Hardware and software co-design e. Fuzzy computer f. Fuzzy database and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system (3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithms c. Genetic algorithms d. Fuzzy approximation algorithms e. Computing with words and Quantum computation (4) Fuzzy Engineering a. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling (5) Fuzzy Operations Research [...] (6) Artificial Intelligence [...] (7) Others [...]
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