A Knowledge-Based System for the Classification of Cancer Diseases in Human Body Using Hybrid Approaches Based on Bipolar Complex Fuzzy Information-Reference-Cited by-同舟云学术

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A Knowledge-Based System for the Classification of Cancer Diseases in Human Body Using Hybrid Approaches Based on Bipolar Complex Fuzzy Information

Published:2023 Issue: Volume:11 Page:96971-96986
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mahmood Tahir¹^ORCID,Rehman Ubaid Ur¹^ORCID,Emam Walid²^ORCID,Tashkandy Yusra²,Ali Zeeshan¹,Yin Shi³^ORCID

Affiliation:

1. Department of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, Pakistan

2. Department of Statistics and Operations Research, Faculty of Science, King Saud University, Riyadh, Saudi Arabia

3. College of Economics and Management, Hebei Agricultural University, Baoding, China

Funder

Researchers Supporting Project

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10235961.pdf?arnumber=10235961

Reference46 articles.

1. Multiple attribute group decision-making method based on extended bipolar fuzzy MABAC approach

2. A method to multi-attribute decision making technique based on Dombi aggregation operators under bipolar complex fuzzy information

3. Bipolar ordered weighted averages: BIOWA operators

4. Bipolar Complex Fuzzy Hamacher Aggregation Operators and Their Applications in Multi-Attribute Decision Making

5. A New Community Detection Problem Based on Bipolar Fuzzy Measures

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