Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization

Dordevic, Milan; Tešić, Rade; Todorović, Srdjan; Jokić, Miloš; Das, Dillip Kumar; Stević, Željko; Vrtagic, Sabahudin

doi:10.3390/axioms11100510

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…The improved fuzzy SWARA is introduced by Vrtagić et al ( 2021 ). After that, many researchers have applied it to many fields such as the assessment of logistics village (Zolfani et al, 2021 ), healthcare system evaluation (Vojinović et al, 2022 ), construction machinery selection (Matić et al, 2022 ), the impact of vehicles on the safety of traffic (Damjanović et al, 2022 ), transportation of dangerous goods (Vojinović et al, 2021 ), sustainability of the economic system (Starčević et al, 2022 ), and production optimization (Dordevic et al, 2022 ). The improved fuzzy SWARA comprises five subsequent steps as follows:…”

Section: Methodsmentioning

confidence: 99%

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Bouraima

Tengecha²,

Stević

et al. 2023

Ann Oper Res

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The selection and prioritization of suitable strategies to address the challenges to the successful operation and implementation of the bus rapid transit (BRT) system is a common problem faced by practitioners and decision-makers. Recent research has widely discussed the issue, but such assessments have remained limited in the city of Dar es Salaam, Tanzania context, where there are mobility difficulties. The present study addresses this research gap and identifies the most critical challenges to BRT implementation and operation, and recommends the most appropriate strategy for overcoming them. Seven strategies are defined. To prioritize these strategies, five criteria are determined. An integrated multi-criteria decision-making model is introduced. Improved Fuzzy Step-Wise Weight Assessment Ratio Analysis based on the Bonferroni operator was used to determine the importance of the criteria. Measurement of alternatives and ranking according to compromise solution was applied to assess and rank the strategies. The results indicate that “frequent flooding at the Jangwani bridge bus terminal” and “long waiting time at bus stops” are the most critical challenges while the fourth alternative “strengthening the operation and management” is the appropriate strategy to be implemented for successful operation and implementation of the BRT system. After that, a five-phase sensitivity analysis is performed to observe the robustness of the proposed approach. The results indicate the flexibility and applicability of the proposed approach can address real-life problems. The proposed methodology in this work can be instrumental in assisting mass transit operators with the successful implementation and operation of the BRT system.

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Section: Methodsmentioning

confidence: 99%

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Bouraima

Tengecha²,

Stević

et al. 2023

Ann Oper Res

Self Cite

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“…Te CRADIS method was developed by Puška et al [60], whereas the Rough CRADIS method was developed by Dordevic et al [61]. Te CRADIS method calculates the deviation of the alternatives from the ideal and anti-ideal alternatives, as well as the deviation of the alternatives from the optimal alternative.…”

Section: Rough Cradis Methodmentioning

confidence: 99%

Selection of EVs as Tourist and Logistic Means of Transportation in Bosnia and Herzegovina’s Nature Protected Areas Using Z-Number and Rough Set Modeling

Puška,

Štilić,

Božanić

et al. 2023

Discrete Dynamics in Nature and Society

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This research focuses on the use of electric vehicles (EVs) to transport visitors and cargo within Bosnia and Herzegovina’s Kozara National Park. Reduced air pollution and the preservation of natural resources are required to help protect this aerial spa. Together with the expert employees of this NP, the EV that would best suit their needs was chosen. The process of decision-making combines subjective and objective methods. Employees first chose the criteria and alternatives and then weighed their importance. On that occasion, Z-numbers were used to include uncertainty in the decision, because it is not always possible to make decisions with complete certainty. Furthermore, the weight of these criteria was determined using the fuzzy PIPRECIA (PIvot Pairwise Relative Criteria Importance Assessment) method. Range (C1) became the most important criterion, followed by vehicle cost (C2), and the technical specifications of these EVs were used to compare them. Because these specifications vary, a rough set was used in which the minimum and maximum EV characteristics were taken based on specific criteria. To rank the alternatives, the R-CRADIS (Rough Compromise Ranking of Alternatives with Distance to Ideal Solution) method was used. According to the research results, the Mercedes eVito Tourer 90 kWh is the highest ranked EV and the validation of the results confirmed these findings. According to the research results, the Mercedes eVito Tourer 90 kWh is the highest ranked EV and the validation of the results confirmed these findings. The sensitivity analysis revealed that if criterion C1 is not as important, the other EVs are ranked higher. This research`s methodology has demonstrated flexibility, therefore it is recommended for use in similar research.

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“…Riaz et al [47] proposed soft-max aggregation operators (AOs) related to LDFSs. Dordevic et al [48] introduced integrated linear programming fuzzy-rough MCDM model. Ali et al [49] gave the idea of Einstein Geometric AOs using a complex interval-valued Pythagorean fuzzy set.…”

Section: Kernel Fuzzy Clusteringmentioning

confidence: 99%

Optimization Algorithms of PERT/CPM Network Diagrams in Linear Diophantine Fuzzy Environment

Parimala,

Prakash,

Al-Quran

et al. 2024

CMES

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The idea of linear Diophantine fuzzy set (LDFS) theory with its control parameters is a strong model for machine learning and optimization under uncertainty. The activity times in the critical path method (CPM) representation procedures approach are initially static, but in the Project Evaluation and Review Technique (PERT) approach, they are probabilistic. This study proposes a novel way of project review and assessment methodology for a project network in a linear Diophantine fuzzy (LDF) environment. The LDF expected task time, LDF variance, LDF critical path, and LDF total expected time for determining the project network are all computed using LDF numbers as the time of each activity in the project network. The primary premise of the LDF-PERT approach is to address ambiguities in project network activity times more simply than other approaches such as conventional PERT, Fuzzy PERT, and so on. The LDF-PERT is an efficient approach to analyzing symmetries in fuzzy control systems to seek an optimal decision. We also present a new approach for locating LDF-CPM in a project network with uncertain and erroneous activity timings. When the available resources and activity times are imprecise and unpredictable, this strategy can help decision-makers make better judgments in a project. A comparison analysis of the proposed technique with the existing techniques has also been discussed. The suggested techniques are demonstrated with two suitable numerical examples.

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Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization

Cited by 10 publications

References 24 publications

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system

Selection of EVs as Tourist and Logistic Means of Transportation in Bosnia and Herzegovina’s Nature Protected Areas Using Z-Number and Rough Set Modeling

Optimization Algorithms of PERT/CPM Network Diagrams in Linear Diophantine Fuzzy Environment

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