Knapsack problem in fuzzy nature: Different models based on credibility ranking method

Niksirat, Malihe; Nasseri, Seyed Hadi

doi:10.2298/yjor210219021n

Cited by 8 publications

(4 citation statements)

References 28 publications

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“…Using the fuzzy entropy method, which was used for objectively determining the criterion weights, the results showed that criterion C1—the Subject of Insurance received the highest weight, while criterion C6—Convenience received the lowest weight. Unlike subjective methods for determining weights, objective methods determine the weights based on data dispersion within a certain criterion [ 52 , 53 ]. The greater the dispersion, the greater the importance of that criterion, and vice versa.…”

Section: Discussionmentioning

confidence: 99%

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Puška

Lukić²,

Božanić

et al. 2023

Entropy

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Crop insurance is used to reduce risk in agriculture. This research is focused on selecting an insurance company that provides the best policy conditions for crop insurance. A total of five insurance companies that provide crop insurance services in the Republic of Serbia were selected. To choose the insurance company that provides the best policy conditions for farmers, expert opinions were solicited. In addition, fuzzy methods were used to assess the weights of the various criteria and to evaluate insurance companies. The weight of each criterion was determined using a combined approach based on fuzzy LMAW (the logarithm methodology of additive weights) and entropy methods. Fuzzy LMAW was used to determine the weights subjectively through expert ratings, while fuzzy entropy was used to determine the weights objectively. The results of these methods showed that the price criterion received the highest weight. The selection of the insurance company was made using the fuzzy CRADIS (compromise ranking of alternatives, from distance to ideal solution) method. The results of this method showed that the insurance company DDOR offers the best conditions for crop insurance for farmers. These results were confirmed by a validation of the results and sensitivity analysis. Based on all of this, it was shown that fuzzy methods can be used in the selection of insurance companies.

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Section: Discussionmentioning

confidence: 99%

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Puška

Lukić²,

Božanić

et al. 2023

Entropy

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“…Both sorts of uncertainty can arise from complex systems (Garg & Rani, 2013). Therefore, in order to make successful decisions, the quantification of uncertainty in the analysis of reliability is important (Chaube et al, 2018;Shakshi et al, 2022;Niksirat & Nasseri, 2022). To accommodate uncertainty during the assessment of a system's reliability, a fuzzytheoretic method has been applied by Knezevic & Odoom, (2001).…”

Section: Literature Backgroundmentioning

confidence: 99%

Reliability based framework for failure analysis in milk process industry

Gopal

Panchal

2023

Decis. Mak. Appl. Manag. Eng.

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The suggested hybridized framework offers a paradigm for performance optimization-reliability-based analysis of milk processing unit’s (MPU) failure behavior in the dairy industry. The proposed hybridized framework led to the development of fuzzy Jaya Based Lambda-Tau (JBLT) technique-based mathematical model for computing various performance parameters of the under-consideration unit. The availability of the system drops by 0.044% as the level of uncertainty or spread level increases from ± 15% to ± 25% and drops to 0.088% as the level of uncertainty increases from ± 25% to ± 60%. To corroborate the system’s availability downward trend, the results of JBLT approach were compared with Particle Swarm Optimization-Based Lambda-Tau (PSOBLT) and conventional Fuzzy Lambda-Tau (FLT) techniques. The analysis findings were given to the maintenance manager so they could create the best maintenance schedule for the considered plant.

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“…Consequently, evaluations are expressed as linguistic values, tailored to align with human cognition [64,65]. To utilize these values effectively, a fuzzy number membership function is formulated to assign fuzzy numbers to specific linguistic values [66]. In fuzzy numbers, the boundaries are not precisely delineated, leading to overlapping boundaries [67,68].…”

Section: Preliminariesmentioning

confidence: 99%

An Expert-Opinion-Based Evaluation Framework for Sustainable Technology-Enhanced Learning Using Z-Numbers and Fuzzy Logarithm Methodology of Additive Weights

Štilić¹,

Puška²,

Puška

et al. 2023

Sustainability

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As technology continues to shape the landscape of education, the need for effective evaluation frameworks for sustainable technology-enhanced learning (TEL) becomes increasingly vital. This study presents an expert-opinion-based evaluation framework, utilizing Z-numbers and the fuzzy logarithm methodology of additive weights (LMAW), to assess the sustainability of TEL approaches. This framework focuses on four main criteria: cloud services compliance, cloud M-Learning essentials, system and technological advancement, and organizations management readiness. Additionally, it incorporates 17 sub-criteria to provide a comprehensive evaluation of the system. Drawing on the expertise of subject matter specialists, the evaluation framework utilizes Z-numbers to account for the inherent uncertainty and imprecision in expert judgments. The fuzzy LMAW is applied to calculate the overall scores for each criterion and sub-criterion, enabling a quantitative measure of their importance in the evaluation process. The findings of this study will contribute to the development of a robust and scientifically rigorous evaluation framework for sustainable TEL. By incorporating expert opinions and employing Z-LMAW, decision-makers and stakeholders can objectively assess the sustainability of TEL systems. This framework holds promise for informing the design and implementation of strategies to enhance the quality, compliance, and technological advancements in TEL environments.

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Knapsack problem in fuzzy nature: Different models based on credibility ranking method

Cited by 8 publications

References 28 publications

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Selection of an Insurance Company in Agriculture through Hybrid Multi-Criteria Decision-Making

Reliability based framework for failure analysis in milk process industry

An Expert-Opinion-Based Evaluation Framework for Sustainable Technology-Enhanced Learning Using Z-Numbers and Fuzzy Logarithm Methodology of Additive Weights

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