Multi-Attribute Decision-Support System Based on Aggregations of Interval-Valued Complex Neutrosophic Hypersoft Set

Rahman, Atiqe Ur; Saeed, Muhammad; Arshad, Muhammad; El-Morsy, Salwa

doi:10.1155/2021/4368770

Cited by 4 publications

(2 citation statements)

References 40 publications

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“…The decision support model utilizes CFHS to provide insights and recommendations for COVID-19 patient diagnosis. Rahman [44] introduced the concept of intervalvalued complex fuzzy hypersoft sets (IVCFHS) along with a few basic operations in 2021. IVCFHS extends the notion of complex fuzzy hypersoft sets to handle interval-valued information.…”

Section: Introductionmentioning

confidence: 99%

Human Intuitionistic Data-Based Employee Performance Evaluation With Similarity Measure Using Lattice Ordered Picture Fuzzy Hypersoft Sets

Harl,

Saeed,

Saeed

et al. 2023

IEEE Access

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Performance evaluation is a critical process in organizations as it provides valuable insights into employee productivity, identifies areas of improvement, facilitates fair reward systems, and ultimately contributes to the overall growth and success of the company. Most evaluations are based on human intuitionistic data, and performance attributes are divided into sub-attributes for a fair and detailed evaluation. For handling attributes at a sub-attributic level, we introduce a novel lattice-ordered picture fuzzy hypersoft set (LO PF HSS ), which provides a more valuable structure for certain decision-making problems where uncertainty associated with picture fuzzy sets and the ordering among parameters is crucial. The utilization of LO PF HSS can enhance decision-making processes by introducing a systematic and ordered representation of parameters. For a detailed illustration of the designed structure, basic operations are defined, which are then used to develop an employee performance evaluation system that incorporates information in the form of membership degree (MD), non-membership degree (NMD), and abstinence degree (AD) while also addressing the issue of parametric ordering. The structure offers great flexibility and versatility in addressing decision-making problems commonly arising in human resource management, as most data is based on human intuition.

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Section: Introductionmentioning

confidence: 99%

Human Intuitionistic Data-Based Employee Performance Evaluation With Similarity Measure Using Lattice Ordered Picture Fuzzy Hypersoft Sets

Harl,

Saeed,

Saeed

et al. 2023

IEEE Access

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show abstract

“…(2022a, b) discussed the several properties of convexity under HSS and FHSS environments. They Rahman et al. (2021a) also characterized the notions of interval-valued complex neutrosophic hypersoft set (ivc-NHSS) with discussion on DM application.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Rahman

Saeed

2022

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PurposeIn this article, the elementary notions and aggregation operations of single-valued neutrosophic parameterized complex fuzzy hypersoft set (sv-NPCFHSS) are characterized initially. Then by using matrix version of sv-NPCFHSS, a decision-support system is constructed for the evaluation of real estate residential projects by observing various risk factors.Design/methodology/approachTwo approaches are utilized in this research: set-theoretic approach and algorithmic approach. The first approach is used to investigate the notions of sv-NPCFHSS and its some aggregations whereas the second approach is used to propose an algorithm for designing its decision-support system by using the aggregation operations like reduced fuzzy matrix, decision matrix, etc. of sv-NPCFHSS. The adopted algorithm is validated in real estate scenario for the selection of residential project by observing various risk factors to avoid any expected investment loss.FindingsThe proposed approach is more flexible and reliable as it copes with the shortcomings of literature on sv-neutrosophic set, sv-neutrosophic soft set and other fuzzy soft set-like structures by considering hypersoft setting, complex setting and neutrosophic setting collectively.Research limitations/implicationsIt has limitations for complex intuitionistic fuzzy hypersoft set, complex neutrosophic hypersoft set and other complex neutrosophic hypersoft set-like models.Practical implicationsThe scope of this research may cover a wide range of applications in several fields of mathematical sciences like artificial intelligence, optimization, MCDM, theoretical computer science, soft computing, mathematical statistics etc.Originality/valueThe proposed model bears the characteristics of most of the relevant existing fuzzy soft set-like models collectively and fulfills their limitations.

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An MADM-based fuzzy parameterized framework for solar panels evaluation in a fuzzy hypersoft expert set environment

Ihsan

Saeed

Rahman

et al. 2023

MATH

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<abstract><p>The selection of parameters plays a vital role in the multi-attribute decision-making process. In some situations, it is observed that the nature of parameters is ambiguous and a multi-decisive opinion is necessary for managing such parametric uncertainty. In the literature, there is no suitable model that can cope with such situations. This study was purposed to develop a novel context called the fuzzy parameterized fuzzy hypersoft expert set (FPFHSE-set), which is capable of managing the uncertain nature of parameters and the multi-decisive opinion of experts collectively in one model. In this way, the proposed model may be described as the generalization of the existing model fuzzy parameterized fuzzy soft expert set (FPFSE-set). Theoretic, axiomatic and algorithmic approaches have been employed for the characterization of the basic notions of the FPFHSE-set. In order to handle multi-attribute decision-making, two algorithms are proposed and then validated by applying them to some real-world scenarios in the FPFHSE-set environment. The merits and superiority of the new algorithms are presented by comparing them with some existing fuzzy decision-making models. According to the proposed FPFHSE-set-based decision-making approaches, the experts have more freedom in specifying their preferences and thoughts according to their expertise, and they can process new types of data. Therefore, this paper presents a state-of-the-art improvement that provides a holistic view to understand and handle the multi-attribute decision-making issues focused on the objective of classifying alternatives according to multiple attributes by multiple experts.</p></abstract>

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Multi-Attribute Decision-Support System Based on Aggregations of Interval-Valued Complex Neutrosophic Hypersoft Set

Cited by 4 publications

References 40 publications

Human Intuitionistic Data-Based Employee Performance Evaluation With Similarity Measure Using Lattice Ordered Picture Fuzzy Hypersoft Sets

Human Intuitionistic Data-Based Employee Performance Evaluation With Similarity Measure Using Lattice Ordered Picture Fuzzy Hypersoft Sets

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

An MADM-based fuzzy parameterized framework for solar panels evaluation in a fuzzy hypersoft expert set environment

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