Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project

Khan, Sharief; Gulistan, Muhammad; Kausar, Nasreen; Pamučar, Dragan; Hong, Tzung-Pei; Wahab, Hafiz Abdul

doi:10.32604/cmes.2023.026169

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…However, most of these aggregation operators are based on the algebraic operations of LNNs, which is short of elasticity and robustness. As another kind of Archimedes t-conorm and t-norm, Einstein operations are more flexible and have good smooth features [ 51 , 52 ]. Therefore, plenty of scholars utilized Einstein t-norm and t-conorm to model the union and intersection on various fuzzy numbers.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method

Chen,

Luo,

Zheng

2024

PLoS ONE

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Sports tourism represents a novel industrial manifestation of the profound integration between the tourism and sports sectors. The objective of this research is to examine an innovative multi-criteria decision-making (MCDM) method for the sustainability evaluation of sports tourism. The largest innovations are the expression and treatment of ambiguous data and interdependent evaluation criteria in the sports tourism sustainability evaluation process. On the one hand, intricate assessment data is represented using linguistic neutrosophic numbers (LNNs), which employ three linguistic variables to convey uncertainty and imprecision. On the other hand, to effectively capture the interrelationships among inputs, two novel aggregation operators are proposed. They are devised based on the Einstein operations and Heronian mean operators of LNNs. Subsequently, a linguistic neutrosophic evaluation method utilizing the aforementioned operators is presented. Comparative and sensitivity analyses conclude that great interdependence exists among five different dimensions of sustainability evaluation in sports tourism, and the proposed method can reflect the interrelations among inputs without redundant calculations.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method

Chen,

Luo,

Zheng

2024

PLoS ONE

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“…Zhao [44] proposed the possibility single-valued neutrosophic hypersoft set (psv-NHSS) framework for evaluating investment projects. Salma [45] developed the "q-Rung Orthopair Fuzzy Hypersoft sets" aggregation operator to address a decisionmaking problem related to real estate investment.…”

Section: Introductionmentioning

confidence: 99%

Development of an Investment Sector Selector Using a TOPSIS Method Based on Novel Distances and Similarity Measures for Picture Fuzzy Hypersoft Sets

Imran Harl,

Saeed,

Saeed

et al. 2024

IEEE Access

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The selection of an optimal investment sector is of critical importance not only for individual financial success but also to drive economic development. The allocation of capital into sectors with high potential for growth, innovation, and job creation is key. In addressing the complexity of decisionmaking scenarios associated with investment sector exploration, we introduce a novel data structure known as Picture fuzzy hypersoft set (PF HSSs ). This specialized approach within computational intelligence and decision-making aims to categorize data into various attributes and sub-attributes, considering the significant role of neutrality. The study stems from the need for a comprehensive framework (PFHSSs) that can effectively handle intricate decision-making scenarios involving attributes, subattributes, and nuanced factors such as neutrality. Traditional tools such as TOPSIS and its extensions of fuzzy sets, while robust in Multiple Criteria Decision Making (MCDM), may face challenges in modeling and analyzing decisionmaking information within a PFHSSs environment. The rationale behind this study lies in enhancing the accuracy and efficiency of decision-making processes when dealing with complex, fuzzy, and multicriteria data. By introducing newly proposed distances and similarity measures tailored to PFHSSs, and constructing a PFHSSs-TOPSIS method, we aim to address the limitations faced by existing models in the PF HSSs environment. The application of Hamming distance-based similarity measures further distinguishes our method by determining the weights assigned to each decision maker. The proposed PF HSSs -TOPSIS method is practically applied in designing an optimal investment sector exploration tool for investors. This method has the potential to establish a crucial connection between alternatives and attributes, providing value across various fields and industries. The research emphasizes bridging the gap in decisionmaking scenarios where alternatives and attributes need to be effectively connected and analyzed, thereby contributing to the advancement of decision-making processes in complex domains.

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“…Therefore, q−ROFHS can provide a more complete and realistic way to model complex and dynamic situations. The concept of q−Rung orthopair fuzzy hypersoft sets was introduced by Khan et al [37,38], which utilizes specific operational rules and aggregation operators (AOs) to address various interactions among input arguments. Subsequently, Gurmani et al [39] proposed different AOs-based basic operational laws.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using <i>q</i>−Rung Orthopair Fuzzy Hypersoft Environment

Khan,

Gulistan,

Kausar

et al. 2024

CMES

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Tourism is a popular activity that allows individuals to escape their daily routines and explore new destinations for various reasons, including leisure, pleasure, or business. A recent study has proposed a unique mathematical concept called a q−Rung orthopair fuzzy hypersoft set (q−ROFHS) to enhance the formal representation of human thought processes and evaluate tourism carrying capacity. This approach can capture the imprecision and ambiguity often present in human perception. With the advanced mathematical tools in this field, the study has also incorporated the Einstein aggregation operator and score function into the q−ROFHS values to support multiattribute decision-making algorithms. By implementing this technique, effective plans can be developed for social and economic development while avoiding detrimental effects such as overcrowding or environmental damage caused by tourism. A case study of selected tourism carrying capacity will demonstrate the proposed methodology.

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Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project

Cited by 6 publications

References 27 publications

Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method

Sustainability evaluation of sports tourism using a linguistic neutrosophic multi-criteria decision-making method

Development of an Investment Sector Selector Using a TOPSIS Method Based on Novel Distances and Similarity Measures for Picture Fuzzy Hypersoft Sets

A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using <i>q</i>−Rung Orthopair Fuzzy Hypersoft Environment

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