A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection

Nazim, Mohd; Mohammad, Chaudhary Wali; Sadiq, Mohd

doi:10.1016/j.aej.2022.04.005

Cited by 69 publications

(40 citation statements)

References 116 publications

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“…Ganesh et al (2015) suggested the use of a multi-criteria decision-making model to identify the critical path in road transport networks by employing an integrated fuzzy AHP-fuzzy TOPSIS method. Nazim et al (2022) applied an integrated fuzzy AHP-TOPSIS method to evaluate different software requirements. Therefore, the comprehensive AHP-TOPSIS method can effectively solve the problem of performance evaluation with respect to GASC.…”

Section: Related Work On Evaluation Methodsmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

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Humanity has consumed a large amount of energy and resources to maintain the rapid development of the economy and society, causing greenhouse gas and air pollutants to rise continuously, generating enormous pressures for the sustainable development of many cities. It is economical to control greenhouse gas and air pollutants from the synergy perspective. To identify the key driving factors involved in synergistic control, this paper uses the pressure-state-response (PSR) model to design a performance evaluation model of greenhouse gas and air pollutants synergistic control (GASC) utilizing pressure, state, and response dimensions. The performance evaluation factor system of GASC comprises three primary aspects and 18 criteria. The analytic hierarchy process (AHP) was used to determine the weight of each factor in the evaluation system. The technique for order preference by similarity to an ideal solution (TOPSIS) method was used to calculate the ranking of the synergistic control effects of the four representative provinces in China. We use Importance-performance analysis (IPA) to analyze the performance of driving factors of synergistic control in the province with the lowest ranking from 2016 to 2020. The research shows that in Northeast China, represented by Liaoning province, the government’s response should include changing the support strategy for the new energy consumer, introducing synergistic control standards and policies, and making flexible adjustments to the supply chain. The research provides a scientific basis for the performance evaluation of GASC and decision-making support for lean response strategies.

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Section: Related Work On Evaluation Methodsmentioning

confidence: 99%

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Guo,

Li,

Xie

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…The multi-measures decision for locating uses the "M" option in the numerical mathematical mean arrangement, as well as the "M" point and "N" layered area FTOPSIS system. The foundation of the FTOPSIS approaches is the possibility of the total and greatest departure from the favorable ideal preparation-the unfavorable perfect answer for the ideal and least ideal plans., respectively [27] by using the FTOPSIS approach, it is able to evaluate the viability and compatibility of the alternative choice with the standards. The pattern implies that FTOPSIS assigns fuzzy numbers to ensure consistency in a fuzzy environment while taking into account the importance of models.…”

Section: Fuzzy Topsis Methodologymentioning

confidence: 99%

Quantitative Assessment of Software Security by Quantum Technique Using Fuzzy TOPSIS

Nadeem

Ahmad

Ansar

et al. 2023

Preprint

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Quantum computer development attracts the security experts of software. The rapid development of number of qubit in quantum computer makes the present security mechanism of software insecure. Software developers need to pay attention to the development of quantum computers in terms of software security. Software security evaluation focuses on the fundamental security features of software as well as the quantum enable security alternatives. The software security evaluation is the most crucial part of surveying, controlling, and administering security in order to further improve the properties of safety. It's crucial to understand that performing a security assessment early on in the development process can help you find bugs, vulnerabilities, faults, and attacks. In this quantitative study, the definition and use of the quantum computing security approach in software security will be covered. The cryptographic calculations had to secure our institutions based on computer and network. The Fuzzy Technique for Order Preference by Similarity to Ideal Situation (Fuzzy-TOPSIS) is to quantitatively assess the rank of the quantum enable security alternatives with security factors. The Quantum Key Distribution, quantum technique of security has got the top priority in the estimation of software security during the era of quantum computer. The quantum mechanism of computing makes the classical computing insecure. The assessment of software security is tried to evaluate factors and its impact on alternatives mathematically.

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“…The "M" choice in the numerical mathematical mean arrangement, together with the "M" point and "N" layered area FTOPSIS system, are utilized in the multi-measures decision for locating. The foundation of the FTOPSIS methods is the possibility of the absolute and furthest division from the positive ideal preparation, unfavorable ideal solution for the ideal and least ideal plan, respectively [27]. The effectiveness of the other option and component in regard to the rules can be evaluated using the FTOPSIS approach.…”

Section: A Fuzzy Topsis Methodologymentioning

confidence: 99%

Evaluating Software Security in the Era of Quantum Computer by Using Fuzzy TOPSIS

Nadeem¹,

Ansar²,

Ahmad³

et al. 2022

Preprint

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The development of quantum computers seeks software developers' attention regarding security in the era of Information Technology, software security is the primary goal for our quantitative assessment of software security in the development cycle of software. Security assessment of software is identifying the key security factors of the software. A security elective provides ex-tensive strategies and calculations to ensure product safety. The security assessment is the key factor in surveying, administering, and controlling security to further enhance the nature of safety. It should be acknowledged that assessing security early on in the development process is beneficial in identifying worms, hazards, flaws, and threats. The definition and portrayal of Quantum Computing (QC) in software security will be discussed in this study. Researchers use cryptography calculations to secure our financial institutions, medical devices, military weaponry, planes, ships, vehicles, and pilots. Here authors of this study use the Fuzzy Technique for Order Preference by Similarity to Ideal Situation (FTOPSIS) to quantitatively assess the weight/rank of the quantum enable security alternatives like (Diffie-Hellman key-exchange algorithm, Quantum key distribution algorithm, Deutsch-Jozsa Algorithm, Special Deutsch-Jozsa Algorithm, Grover’s Algorithm and Quantum key distribution algorithm in GHZ state) with security factors like (Confidentiality, Integrity, Authenti-cation, Privacy, Reliability, Maintainability, Authorization, Integrity, Possessions, and Availability). Additionally, they critically analyze and select the six alternatives of quantum-based security algorithms. The nature of safety infers the ability to execute a thing on time in this exploration study, specifically 'software security'.

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A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection

Cited by 69 publications

References 116 publications

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Driving factors and key paths of greenhouse gas and air pollutants synergistic control using hybrid multiple-criteria decision-making

Quantitative Assessment of Software Security by Quantum Technique Using Fuzzy TOPSIS

Evaluating Software Security in the Era of Quantum Computer by Using Fuzzy TOPSIS

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