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

Analysis and application of $$\text {r},\text {s},\text {t}$$-spherical fuzzy Aczel–Alsina aggregation operators in multiple criteria decision-making DOI
Jawad Ali

Granular Computing, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 9, 2024

Language: Английский

Citations

17
Cosine similarity and distance measures for p,q− quasirung orthopair fuzzy sets: Applications in investment decision-making DOI Creative Commons
Muhammad Rahim, Shougi Suliman Abosuliman, Roobaea Alroobaea

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e32107 - e32107

Published: May 31, 2024

Similarity measures and distance are used in a variety of domains, such as data clustering, image processing, retrieval information, recognizing patterns, order to measure the degree similarity or divergence between elements datasets. quasirung orthopair fuzzy ( QOF) sets novel improvement set theory that aims properly manage uncertainties. Unfortunately, there is lack research on QOF sets. In this paper, we investigate different cosine ROFSs). Firstly, Euclidean for QOFSs defined, followed by an exploration their respective properties. Given does not satisfy axiom, method presented constructing alternative QOFSs. The structure based suggested measures, which ensure adherence axiom. Furthermore, develop connects measurements. We then apply technique decision-making, taking into account both geometric algebraic perspectives. Finally, present practical example demonstrates proposed justification efficacy method, conclude with comparison existing approaches.

Language: Английский

Citations

9
Innovative Multi-Criteria Group Decision Making with Interval-Valued p, q, r-Spherical Fuzzy Sets: A Case Study on Optimal Solar Energy Investment Location DOI Creative Commons
Muhammad Rahim, Sanaa A. Bajri, Salma Khan

et al.

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Language: Английский

Citations

1
CODAS extension using novel decomposed Pythagorean fuzzy sets: Strategy selection for IOT based sustainable supply chain system DOI
Nurşah Alkan, Cengiz Kahraman

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121534 - 121534

Published: Sept. 12, 2023

Language: Английский

Citations

22
Regret-based domination and prospect-based scoring in three-way decision making using q-rung orthopair fuzzy Mahalanobis distance DOI
Arijit Mondal, Sankar Kumar Roy, Muhammet Deveci

et al.

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(S2), P. 2311 - 2348

Published: Aug. 30, 2023

Language: Английский

Citations

19
Improved COPRAS Method With Unknown Weights Under p, q-Quasirung Orthopair Fuzzy Environment: Application to Green Supplier Selection DOI Creative Commons
Muhammad Rahim, Yasir Akhtar, Miin‐Shen Yang

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 69783 - 69795

Published: Jan. 1, 2024

ABSTRACT In the last few decades, there has been a significant increase in importance of assessing social and ecological implications within industrial product supply chains. This tendency given rise to notion supplier sustainability, which entails meeting economic, environmental, demands all suppliers. The selections are typically based on experts' opinion, then reflected ratings. When examining sustainability indicators, experts may not be fully aware aspects suppliers' social, environmental qualities. Decision Making (DM) approaches such as Pythagorean Fuzzy (PF) q-Rung Orthopair (q-ROF) sets, unable use different powers for membership non-membership grades simultaneously. real-life DM problems, require power levels grades. this paper, we propose new extension COPRAS method under p, q -Quasirung orthopair fuzzy ( –QOF) allow decision-makers by incorporating parameters xmlns:xlink="http://www.w3.org/1999/xlink">p xmlns:xlink="http://www.w3.org/1999/xlink">q . proposed approach, it is assumed that addition compiling expert scores suppliers, issue analyst evaluates each expert's degree expertise criterion. best choice determined combining data using method. Inter-Criteria Correlation (CRITIC) employed determine unknown criteria weights. To demonstrate effectiveness our apply Multi-Criteria Group Decision-Making (MCGDM) problem focused green selection. Finally, conduct comparative study with existing practicality applicability

Language: Английский

Citations

8
A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations DOI Creative Commons
Wuhuan Xu,

Zhong Yao,

Jun Wang

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(2)

Published: Feb. 9, 2024

Abstract This paper advances the field of multi-attribute group decision making (MAGDM) by proposing a novel framework based on interval-valued q-rung dual hesitant fuzzy sets (IVq-RDHFSs). IVq-RDHFSs, which surpass most existing sets, effectively represent complex information describing membership and non-membership degrees through interval value sets. However, prior MAGDM methods IVq-RDHFSs have been limited functions operation rules aggregation operators (AOs). limitation is addressed construction new framework, leveraging robust Frank t-norm t-conorm (FTT) extended power average (EPA) operator. The proposed features weighted (IVq-RDHFFWEPA) operator to obtain comprehensive evaluation values. also introduces techniques for determining weights decision-makers attributes. Practical applications method are demonstrated assessment desalination technology selection rural green eco-tourism projects. Sensitivity comparison analyses validate superior functionality, accuracy, flexibility this compared many state-of-the-art methods. contributions two-fold: it develops efficient measurement such as distance weight calculation, integrating FTT EPA under improves efficiency solving decision-making problems.

Language: Английский

Citations

7
p,q-Quasirung orthopair fuzzy multi-criteria group decision-making algorithm based on generalized Dombi aggregation operators DOI
Jawad Ali, Zahid Mehmood

Journal of Applied Mathematics and Computing, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 12, 2024

Language: Английский

Citations

6
A novel Aczel-Alsina triangular norm-based group decision-making approach under dual hesitant q-rung orthopair fuzzy context for parcel lockers’ location selection DOI
Souvik Gayen, Animesh Biswas, Arun Sarkar

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 126, P. 106846 - 106846

Published: Aug. 8, 2023

Language: Английский

Citations

13
Novel picture fuzzy power partitioned Hamy mean operators with Dempster-Shafer theory and their applications in MCDM DOI Creative Commons

Tanuja Punetha,

Komal,

Dragan Pamučar

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(6)

Published: May 16, 2024

Abstract In some multi-criteria decision-making (MCDM) scenarios, decision makers must address challenges like handling uncertain and incomplete information, managing biases in criteria values, assessing interrelationships among based on their partitioning as per characteristics. To tackle these challenges, a picture fuzzy set (PFS) can be utilized to quantify vague Hamy mean (HM) used consider while the power average (PA) mitigates any kind of biasness. Also, overcome limitations persistence invariantess algebraic operations, Dempster-Shafer theory (DST) is employed. By integrating conventional HM with traditional PA under partitioning, this paper first introduced novel partitioned ( $$PPtHM^q$$ PPtHMq ) operator. Then, operator extended for numbers (PFNs) DST two operators are introduced, which named $$(PFPPtHM^q_{DST})$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">(PFPPtHMDSTq) weighted $$(PFWPPtHM^q_{DST})$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">(PFWPPtHMDSTq) desirable properties. Moreover, operators, new method MCDM PFS environment has been designed. The illustrates application selecting best hotel four alternatives $$B_1$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">B1 , $$B_2$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">B2 $$B_3$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">B3 $$B_4$$ xmlns:mml="http://www.w3.org/1998/Math/MathML">B4 five criteria, into sets. Results indicate that worst hotels respectively. Sensitivity analysis explores impact granularity parameter variations, comparative demonstrates effectiveness presented operators. Overall, study concludes offer flexibility, generality, consistency analyzing problems environments.

Language: Английский

Citations

4