Technology adaptation in sugarcane supply chain based on a novel p, q Quasirung Orthopair Fuzzy decision making framework DOI Creative Commons
Sanjib Biswas, Dragan Pamučar, Vladimir Šimić

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 3, 2024

The present paper contributes to the literature in two ways. First, it develops a novel p, q Quasirung Orthopair Fuzzy (p, QOF) based group decision making framework modify recently developed multi-criteria (MCDM) model such as Comparisons between Ranked Criteria (COBRAC). Second, ruminates on Strength-Weakness-Opportunity-Threat (SWOT) of sugarcane supply chain (SSC) India vis-à-vis adaptation advanced technologies featuring Industry 4.0. To set sub-factors various dimensions SWOT, theoretical ground Technology-Organization-Environment (TOE) has been used. SWOT have derived through an informal in-depth discussion with experts sugar industry. Then using Likert five-point linguistic scale rated their relative importance. determine weights modified COBRAC method applied. In subsequent stages reliability tested and sensitivity analysis carried out check stability result. reveals that while experience, by-product utilization high demand provides strength create opportunities for SSC, areas concern are lack variety, fragmented nature chains, shortage next-gen talent inadequate infrastructure. However, there enough promises SSC. shall provide impetus strategic makers industry puts forth new decision-making analysts.

Language: Английский

Construction and analysis of Aczel-Alsina t-norm based ( p,q )-rung linear diophantine fuzzy aggregation operators with multi-criteria decision making DOI
Rizwan Gul, Saba Ayub,

Muhammad Shabir

et al.

International Journal of Systems Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Jan. 26, 2025

Language: Английский

Citations

0
Enhancing decision-making in cloud service provider selection using probabilistic p, q-rung orthopair fuzzy model DOI
Pairote Yiarayong

Journal of Combinatorial Optimization, Journal Year: 2025, Volume and Issue: 49(2)

Published: March 1, 2025

Language: Английский

Citations

0
Multi-criteria Group Decision-Making Using Complex p, q-Quasirung Orthopair Fuzzy Sets: Application in the Selection of Renewable Energy Projects for Investments DOI
Muhammad Rahim, Sanaa A. Bajri, Haifa Alqahtani

et al.

Cognitive Computation, Journal Year: 2025, Volume and Issue: 17(2)

Published: March 25, 2025

Language: Английский

Citations

0
Group decision-making framework using generalized heronian mean operators in quasi rung orthopair fuzzy environment with applications DOI Creative Commons
Muhammad Bilal, Jawad Ali,

Muhammad Tariq

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 16, 2025

Effective decision-making in complex environments often requires handling fuzzy data with interdependencies. The generalized Heronian mean and geometric operators have proven useful for such analysis. However, existing methods struggle to capture correlations among pq-quasi rung orthopair (pqQROF) numbers. This study addresses this gap by extending these the pqQROF setting developing a novel hybrid framework. proposed framework integrates distance measure, rank sum (RS) method, aggregation determine both objective subjective criteria weights. applicability of approach is demonstrated through two case studies: project selection university selection. Finally, comparative evaluation developed against ones conducted assess their effectiveness highlight superiority algorithm.

Language: Английский

Citations

0
$$p, q$$-quasirung orthopair fuzzy Schweizer-Sklar aggregation operators and their application in multi-attribute decision-making DOI

Ashu Redhu,

Reeta Bhardwaj, Kamal Kumar

et al.

Journal of Applied Mathematics and Computing, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

Citations

0
New Fermatean Fuzzy Distance Metric and Its Utilization in the Assessment of Security Crises Using the MCDM Technique DOI Creative Commons
Paul Augustine Ejegwa, Manasseh Terna Anum, Nasreen Kausar

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(20), P. 3214 - 3214

Published: Oct. 14, 2024

The problem of insecurity is a global phenomenon that has several forms like terrorism, banditry, kidnappings, etc. Insecurity taken hold in the Sub-Saharan Region West Africa, especially Nigeria, for over two decades. Nigeria’s security crisis more pronounced Northern Region, with new wave North-Central Nigeria. It herculean to assess Nigeria because region’s fuzzy or imprecise nature insecurity. This constitutes rationale deploying Fermatean technique due capacity scheme handle imprecision. To this end, distance metric presented evaluate using multi-criteria decision-making technique. express logic creating metric, some existing metrics are discussed, along their drawbacks. mathematical properties and method applied computationally data assessment collected via linguistic variables opinions experts analyzed order preference by similarity ideal solution, which commonly used method. Finally, numerical validity expressed comparative results, finding shows benefit approach methodologies. outcome work will provide reliable traveling advisories safe voyages within region.

Language: Английский

Citations

3
Probabilistic hesitant fuzzy group decision analysis using partitioned Maclaurin symmetric mean operators DOI
Jawad Ali

Journal of Applied Mathematics and Computing, Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Language: Английский

Citations

0
Correlation coefficient of r,s,t-spherical hesitant fuzzy sets and MCDM problems based on clustering algorithm and technique for order preference by similarity to ideal solution method DOI
Şeri̇f Özlü,

Hacı Aktaş

Computational and Applied Mathematics, Journal Year: 2024, Volume and Issue: 43(8)

Published: Oct. 4, 2024

Language: Английский

Citations

2
Decision Analysis Algorithm Using Frank Aggregation in the SWARA Framework with p,qRung Orthopair Fuzzy Information DOI Open Access
Jawad Ali,

Suhad Ali Osman Abdallah,

N.S. Abd EL-Gawaad

et al.

Symmetry, Journal Year: 2024, Volume and Issue: 16(10), P. 1352 - 1352

Published: Oct. 12, 2024

The present study introduces an innovative approach to multi-criteria decision making (MCDM) aimed at handling analysis involving p,qrung orthopair fuzzy (p,qROF) data, where the criteria weights are completely unknown. To achieve this objective, we formulate generalized operational rules referred as Frank rules, tailored for p,qROF numbers (p,qROFNs) utilizing t-norm and t-conorm. With these newly devised operations a foundation, create variety of aggregation operators (AOs) effectively aggregate information. Furthermore, examine specific instances rigorously establish their desirable properties, including idempotency, monotonicity, boundedness, symmetry. Subsequently, adapt SWARA technique realm data adapted becomes instrumental in determining within proposed MCDM framework centered around AOs. We furnish descriptive example exemplify practicality developed approach. Lastly, effectiveness soundness our underscored through both parameter comparative evaluation.

Language: Английский

Citations

2
Quasirung orthopair fuzzy linguistic sets and their application to multi criteria decision making DOI Creative Commons
Zijun Zhao,

Jiangang Ye,

Muhammad Rahim

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 26, 2024

Linguistic term fuzzy sets provide an intuitive way to express preferences, enhancing understanding and communication among decision-makers. In this article, we introduce the novel concept of p,q-quasirung orthopair linguistic (p,q-QOFLSs), which merge principles (p,q-QOFSs) with sets. This new framework offers a more robust approach handle uncertain imprecise information in decision-making processes, characterized by membership non-membership degrees. We establish several fundamental operational laws, alongside score accuracy functions, facilitate comparison numbers. Leveraging these propose series weighted averaging geometric operators under p,q-QOFLSs. Furthermore, formulate multi-attribute methodology using operators. The significance proposed method lies its ability model complex scenarios enhanced precision. A numerical example validates practicality adaptability methodology, supported sensitivity analyses comparative evaluations, highlighting innovation efficiency approach.

Language: Английский

Citations

2