An Innovative Approach to Investigate the Effects of Artificial Intelligence Based on Complex Bipolar Picture Fuzzy Information

Jan, Naeem; Akram, Bushra; Nasir, Abdul; Alhilal, Mohsin S.; Alabrah, Amerah; Al-Aidroos, Naziha M.

doi:10.1155/2022/1460544

Cited by 10 publications

(5 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is noted that the invented theory can't overcome with information that is in the model of BCF linguistic set [45], BCF soft set [46], picture FS [47], complex picture FS [48], complex bipolar FS [49], bipolar complex spherical FS [50] and other generalization of BCFS. Because of this limitation and the benefits of logarithmic AOs, there is a deliberate plan to use them in a wider range of frameworks, such as BCF linguistic set, BCF soft se, picture FS, bipolar complex spherical FS, etc.…”

Section: Discussionmentioning

confidence: 99%

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

Song,

Mahmood,

Rehman

2024

IEEE Access

View full text Add to dashboard Cite

Numerous factors, including project complexity, team size, customer collaboration, and development pace, must be taken into consideration while choosing a software development methodology. This problem is a multi-criteria decision-making dilemma since the many criteria frequently fight with one another and fluctuate in priority. To systematically select the best methodology, the multi-criteria decisionmaking technique assists in quantifying and assessing these factors. This ensures that decisions are made in a fair and informed manner within the context of the challenging software development environment. Thus, in this article, we develop a multi-criteria decision-making approach in the setting of bipolar complex fuzzy information for the prioritization and selection of optimal software development methodology. For this, we first, invent logarithmic operational laws and associated results for the bipolar complex fuzzy set. Then, we invent four aggregation operators by utilizing these logarithmic operational laws under the structure of bipolar complex fuzzy information, that is, logarithmic bipolar complex fuzzy weighted averaging, logarithmic bipolar complex fuzzy ordered weighted averaging, logarithmic bipolar complex fuzzy weighted geometric, and logarithmic bipolar complex fuzzy ordered weighted geometric. After that, we solve a multi-criteria decision-making dilemma related to the prioritization and selection of software development methodology by considering the artificial data in the setting of bipolar complex fuzzy information and achieve that "Agile" is the optimal software development methodology among the considered four different software development methodologies, i.e., Waterfall, DevOps, Spiral, and Agile. In the last, we investigate the comparison study of the deduced theory to a few current theories to reveal the importance and supremacy of the constructed theory.INDEX TERMS Software development methodology; logarithmic operations; bipolar complex fuzzy set; MCDM.

show abstract

Section: Discussionmentioning

confidence: 99%

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

Song,

Mahmood,

Rehman

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The information found in the structures of bipolar complex fuzzy soft sets [63,64], complex hesitant FS [65], complex bipolar picture FS [66], etc. is beyond the capabilities of the inferred concepts that are AOs and DM framework under BCFULS.…”

Section: A Limitations and Future Directionmentioning

confidence: 99%

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Mahmood,

Rehman,

Emam

et al. 2024

IEEE Access

View full text Add to dashboard Cite

There are many computer vision technologies available, each having advantages and disadvantages of its own. Effective visual data analysis requires choosing the best technology and giving its deployment top priority. A strong framework for decision-making (DM) is required, one that can manage the ambiguities, imprecision, dual aspects, and linguistic terms present in real-world computer vision applications. Thus, in this script, we investigate the DM framework under the structure of a bipolar complex fuzzy uncertain linguistic set (BCFULS). The theory of BCFULS is also devised in this manuscript, which can model the data that contains ambiguities, extra fuzzy information, dual aspects, and linguistic terms simultaneously. For this DM framework, we inaugurate averaging/geometric aggregation operators (AOs) within the structure of BCFULS and analyze the related properties. After that, we employ the inaugurated DM framework to prioritize the numerous types of computer vision by considering artificial data and achieve that "Feature Matching" is the finest computer vision. Finally, this script contains a comparative analysis of this work with numerous current works to depict the supremacy and advantages of the invented work.

show abstract

“…In the future, we are thinking to expand this work to various notions where the proposed work is not applicable such as bipolar complex fuzzy uncertain linguistic set, bipolar complex fuzzy 2-tuple linguistic set, BCFSS [34], complex bipolar intuitionistic FS [39], complex bipolar picture FS [40] complex hesitant FS [41], [42], picture FS [43], and picture fuzzy soft set [44].…”

Section: A Future Directionmentioning

confidence: 99%

Prioritization of Strategies of Digital Transformation of Supply Chain Employing Bipolar Complex Fuzzy Linguistic Aggregation Operators

2023

View full text Add to dashboard Cite

Digitalization has addressed all parts of organizations together with supply chain management. Innovations like installed RFID, GPS, and sensors have assisted organizations with changing their current conventional supply chain framework into more spry, adaptable, open, and cooperative computerized models. A lot of organizations want to get the advantages of digitalization, particularly in the supply chain But here, the biggest problem, that the organizations are facing is the ambiguities, i.e. how to select and evaluate the best strategy for the supply chain digital transformation (SCDT), on which criteria or attribute they can assess the strategies of SCDT, etc. Multi-attribute decision-making (MADM) procedure is the finest technique to evaluate and find out the finest strategy of the SCDT. To handle these ambiguities and for making the MADM technique, this study first establishes the concept of bipolar complex fuzzy linguistic sets (BCFLSs) and its essential properties. Furthermore, we scrutinize average and geometric AOs for BCFLS such as bipolar complex fuzzy linguistic weighted averaging (BCFLWA) and bipolar complex fuzzy linguistic weighted geometric (BCFLWG) operators along with their idempotency, boundedness, and monotonicity properties. After that, to exhibit the usefulness of our established notion and AOs in real life and the selection and evaluation of the strategy of digital transformation of the supply chain, we interpret a DM technique and explore a numerical example. To exhibit the supremacy of the defined BCFLS and defined AOs we compare them with certain prevailing conceptions.INDEX TERMS Digital transformation of supply chain, bipolar complex fuzzy linguistic sets, aggregation operators.

show abstract

An Innovative Approach to Investigate the Effects of Artificial Intelligence Based on Complex Bipolar Picture Fuzzy Information

Cited by 10 publications

References 40 publications

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Prioritization of Strategies of Digital Transformation of Supply Chain Employing Bipolar Complex Fuzzy Linguistic Aggregation Operators

Contact Info

Product

Resources

About