Growing global energy demand and the depletion of fossil fuels have highlighted the need for alternate and environmentally benign energy sources. The volume of untreated waste water being disposed of straight into fresh water is becoming a major concern. An integrated treatment method can address the problems of bio-energy generation and wastewater management as both processes can use wastewater as a substrate. Linear diophantine fuzzy sets help handle the uncertainty and difficulties that arise while deciding on an effective treatment technique. The use of control parameters makes these fuzzy sets unique and superior to other existing fuzzy sets. A modified strategy incorporating the Pivot pairwise relative criteria importance assessment and Interactive multi-criteria decision making methodologies is proposed for the linear diophantine fuzzy environment. The applicability and effectiveness of the developed model are established by choosing an appropriate wastewater treatment technology in the context of linear diophantine fuzzy sets. In addition, sensitivity analysis is used in this study to determine the stability of the developed framework. Further, comparison analysis is also addressed to assess the validity of the acquired results.
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http://dx.doi.org/10.1016/j.chemosphere.2022.134568 | DOI Listing |
Sci Rep
January 2025
Department of Mathematics, Amran university, Amran, Yemen.
The introduction of (p, q)-rung linear Diophantine fuzzy set into the field of fuzzy set theory is a significant advancement, providing a broader perspective to address complicated decision-making scenarios. Alongside, the preference ranking organization method for enrichment of evaluation (PROMETHEE) emerges as a widely recognized tool for tackling multi-criteria decision-making challenges. This study contributes theoretically to the decision-making field by integrating (p, q)-rung linear Diophantine fuzzy sets into the PROMETHEE framework, improving (p, q)-rung linear Diophantine fuzzy sets adaptability and efficiency in practical aspects, the proposed framework can effectively address various intricate decision-making challenges encountered in real-world scenarios.
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December 2024
School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, 201209, China.
To mitigate the safety risks and economic losses caused by wheel damage, this paper proposes an interval valued fuzzy inference-based sound analysis method for wheel damage detection. Firstly, interval valued fuzzy sets are defined to represent various levels of damage severity. A similarity calculation method is then designed, based on the defined interval valued fuzzy sets, to assess the damage level of wheel components.
View Article and Find Full Text PDFComput Biol Med
December 2024
Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan. Electronic address:
The selection of the most effective surgical approach is a critical decision in major surgery. With several approaches available, it is important to select the one that will have the most beneficial effect on the patient's health. Multi criteria decision making techniques are essential for identifying the most effective surgical approach to optimize patient health.
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December 2024
Department of Occupational Health and Safety Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Due to the extensive use of explosives, the failure to identify hazards and assess risks in blasting may lead to catastrophic consequences. However, classical risk assessment approaches are limited in their ability to address ambiguity and uncertainty, as well as in assigning weights to the criteria involved in the risk assessment process. This study employs a multi-criteria decision-making system to address these limitations and assess the risks associated with blasting.
View Article and Find Full Text PDFThe aviation industry's growing dependence on digital technologies necessitates robust cybersecurity measures to counter advanced threats. This study integrates the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method with Quantum Spherical Fuzzy Sets (QSFS) to enable precise and reliable decision-making under uncertainty. Key criteria, identified through expert evaluations, include Threat Detection Systems (TDS), Data Encryption Protocols (DEP), Regulatory Compliance (RC), Incident Response Plans (IRP), User Training (UT), Access Control Mechanisms (ACM), and Network Security Solutions (NSS).
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