Results 11 to 20 of about 969 (159)

Maintenance strategy selection for engineering systems based on multi-criteria decision making approach by using bipolar complex fuzzy prioritized aggregation operators [PDF]

Scientific Reports
The existing approaches for maintenance strategy selection cannot usually account for the intrinsic complexities, uncertainties, and bipolarities that are prevalent in critical engineering systems.
Zhiping Xu, Ubaid ur Rehman, Tahir Mahmood, Shouzhen Zeng   +3 more
doaj   +2 more sources

Enhancing strategic basketball decisions using a bipolar complex fuzzy multi criteria group decision making framework [PDF]

Scientific Reports
The work offers a methodological improvement of decision-making based on a Bipolar Complex Fuzzy Multi-Criteria Group Decision-Making (BCF-MCGDM) framework that incorporates Aczel-Alsina triangular norms and conorms (AATNs and AATCNs) to become more ...
Junwei Yao, Xuan Wang, Qiaoli Wei, Yang Cheng   +3 more
doaj   +2 more sources

Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators [PDF]

Scientific Reports
The selection of suitable AI models to predict disability diseases stands as a vital multi-attribute decision-making (MADM) task within healthcare technology. The current selection methods fail to integrate the management of uncertainties with bipolarity
Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood   +3 more
doaj   +2 more sources

Analysis of TOPSIS techniques based on bipolar complex fuzzy N‐soft setting and their applications in decision‐making problems

CAAI Transactions on Intelligence Technology, 2023
A novel model termed a bipolar complex fuzzy N‐soft set (BCFN‐SS) is initiated for tackling information that involves positive and negative aspects, the second dimension, and parameterised grading simultaneously.
Tahir Mahmood, Ubaid ur Rehman, Zeeshan Ali, Izatmand Haleemzai   +3 more
doaj   +2 more sources

Analysis of Renewable Energies Based on Circular Bipolar Complex Intuitionistic Fuzzy Linguistic Information with Frank Power Aggregation Operators and MABAC Model

International Journal of Computational Intelligence Systems
Intuitionistic fuzzy sets and bipolar fuzzy sets are two different ideas, used for the assessment of opinions because the intuitionistic fuzzy sets contain the membership function and non-membership function, but the bipolar fuzzy set describes opinions ...
Zeeshan Ali, Miin-Shen Yang
doaj   +2 more sources

Identification and Prioritization of DevOps Success Factors Using Bipolar Complex Fuzzy Setting With Frank Aggregation Operators and Analytical Hierarchy Process

IEEE Access, 2022
DevOps (“development and operations”) is a dominant and collaborative organizational effort to computerize simultaneously the supply of a software strategy with a theme to enhance software features.
Ubaid Ur Rehman, Tahir Mahmood, Majed Albaity, Khizar Hayat, Zeeshan Ali   +4 more
doaj   +2 more sources

Analysis of renewable energy resources based on frank power aggregation operators and EDAS method for circular bipolar complex fuzzy uncertainty

Heliyon
The model of circular bipolar complex fuzzy (Cir-BCF) sets computed based on the membership function, non-membership function, and radius among both functions for each value of the universal set.
Zeeshan Ali, Khumara Ashraf, Khizar Hayat   +2 more
doaj   +3 more sources

AI-driven energy management system based on hesitant bipolar complex fuzzy Hamacher power aggregation operators and their applications in MADM [PDF]

Scientific Reports
Artificial Intelligence (AI) based energy management systems utilize sophisticated AI algorithms to improve and control the consumption of energy in various sectors, such as power utilities, industrial systems, and smart buildings.
Walid Emam, Hafiz Muhammad Waqas, Tahir Mahmood, Ubaid ur Rehman, Dragan Pamucar   +4 more
doaj   +2 more sources

A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector [PDF]

Scientific Reports
Addressing uncertainty is paramount in all decision-making scenarios to ensure robust, well-informed outcomes that can adapt to unforeseen changes and risks.
Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang   +4 more
doaj   +2 more sources

Fuzzy Bipolar Hypersoft Sets: A Novel Approach for Decision-Making Applications

Mathematical and Computational Applications
This article presents a pioneering mathematical model, fuzzy bipolar hypersoft (FBHS) sets, which combines the bipolarity of parameters with the fuzziness of data.
Baravan A. Asaad, Sagvan Y. Musa, Zanyar A. Ameen   +2 more
doaj   +3 more sources