An intelligent sv-neutrosophic parameterized MCDM approach to risk evaluation based on complex fuzzy hypersoft set for real estate investments

Zhang, Yu-dong; Rahman, Atiqe Ur; Saeed, Muhammad

doi:10.1108/md-05-2022-0605

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…The adopted technique is implemented in a real-world situation involving the investment evaluation of a hydroelectric power station project. Single-valued neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) is a novel neutrosophic hypersoft set hybrid that Zhang et al . (2023b) characterized, along with its aggregation operations and decision-support system for evaluating real estate residential projects by monitoring various risk factors.…”

Section: Published Researchmentioning

confidence: 99%

Guest editorial: Preface to the special issue on the neutrosophical approach: applications in management decision and organizational research methods

Edalatpanah

Smarandache

Garg

2023

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Section: Published Researchmentioning

confidence: 99%

Guest editorial: Preface to the special issue on the neutrosophical approach: applications in management decision and organizational research methods

Edalatpanah

Smarandache

Garg

2023

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“…Khan [42] applied picture fuzzy soft robust VIKOR Method and its associated algorithmic procedures to solve investment problems. Zhang [43] used the matrix version of complex fuzzy hypersoft sets(CFHSS) to construct a decision-support system for the evaluation of real estate residential projects. Zhao [44] proposed the possibility single-valued neutrosophic hypersoft set (psv-NHSS) framework for evaluating investment projects.…”

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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“…Musa and Asaad 32 studied the bi-polarity of hs -set by developing a novel structure called bipolar hs -set and discussed its set-theoretic operations. Rahman et al 33–37 applied the concept of fhs -set in real world DM scenarios like medical diagnosis for heart diseases, set-theoretic and modular inequalities, supplier selection and risk analysis for real estate projects respectively. Ihsan et al 38,39 investigated various set-theoretic characteristics, set operations, and applications of hypersoft hybrids with an expert set environment to tackle with multi-decisive opinions of experts.…”

Section: Introductionmentioning

confidence: 99%

An innovative decisive framework for optimized agri-automobile evaluation and HRM pattern recognition via possibility fuzzy hypersoft setting

Rahman

Saeed

Garg

2022

Advances in Mechanical Engineering

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In multi-attribute decision-making system, decision-makers have to face two kinds of situations: (i) the opted parameters are likely to be classified into their respective parametric-valued sub-collections and (ii) the acceptance degree for approximate opinions of decision-makers is required to be assessed by possibility setting. The literature related to fuzzy soft sets is unable to provide any model which can tackle such situations collectively. Therefore, this study aims to address this scarcity through the development of a novel structure, that is, possibility fuzzy hypersoft set ([Formula: see text]-set). Firstly, the algebraic properties and set-theoretic operations of [Formula: see text]-set are characterized by mathematical illustration. Secondly, two algorithms based on AND and OR-operations of [Formula: see text]-set are proposed and authenticated through application in multi-attribute decision-making real-world problems for the evaluation of agri-automobile and then their suitability is judged through vivid comparison. Thirdly, similarity measures between [Formula: see text]-sets are formulated and validated with the help of application in recruitment-based pattern recognition and its significance is assessed through comparison with most relevant models. Lastly, the advantageous aspects of the proposed structure are analyzed by its comparison with possibility fuzzy soft set-like models by observing some important evaluating features.

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An intelligent sv-neutrosophic parameterized MCDM approach to risk evaluation based on complex fuzzy hypersoft set for real estate investments

Cited by 5 publications

References 32 publications

Guest editorial: Preface to the special issue on the neutrosophical approach: applications in management decision and organizational research methods

Guest editorial: Preface to the special issue on the neutrosophical approach: applications in management decision and organizational research methods

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

An innovative decisive framework for optimized agri-automobile evaluation and HRM pattern recognition via possibility fuzzy hypersoft setting

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