LBWA – Z-MAIRCA Model Supporting Decision Making in the Army

Božanić, Darko; Jurišić, Dragiša; Erkić, Dražan; Herzegovina,

doi:10.31181/oresta2003087b

Cited by 33 publications

(23 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LBWA method requires smaller number of pairwise criteria comparisons and has a rational and logical mathematical algorithm (Zizovic and Pamucar 2019 ). From the group of subjective criteria weighting methods, LBWA stands out due to the following advantages (Bozanic et al 2020 ): i) small number of comparisons; ii) algorithm does not become complicated with increase in number of criteria, thus making it suitable for complex MCDM problems; and iii) it allows DMs a logical algorithm to present their preferences while prioritizing criteria. This eliminates inconsistencies in expert preferences.…”

Section: Proposed Decision Making Modelmentioning

confidence: 99%

“A multi-tier sustainable food supplier selection model under uncertainty”

et al. 2021

View full text Add to dashboard Cite

Supplier selection in food supply chains (FSCs) is not much explored due to the inherent difficulties, complexities and nature of food industry. Food security and quality are top row topics in today’s world health scenario. During sudden food crisis, it needs extra attention where producers, suppliers, and stakeholders play the most vital roles. This paper puts forward a two-phase sustainable multi-tier supplier selection model for FSC based on an integrated decision analysis under multi-criteria perspectives considering sustainability criteria, suppliers and sub-suppliers. In the first phase, the model estimates supplier selection criteria weights using a combined version of step-wise weight assessment ratio analysis (SWARA) and level based weight assessment (LBWA) in conjunction with D-numbers. In the second phase, Measurement of Alternatives and Ranking according to the COmpromise Solution (MARCOS)-D method is applied to obtain a ranking pre-order of different tier suppliers. Moreover, several sensitivity analyses are carried out in order to examine model reliability. To check application practicability, the proposed model is implemented in a case study of WineSol Corporation in Spain. T he proposed model is expected to serve as a kickoff point for developing advanced decision-making models for effectually address multi-tier supplier selection problems under uncertain environment.

show abstract

Section: Proposed Decision Making Modelmentioning

confidence: 99%

“A multi-tier sustainable food supplier selection model under uncertainty”

et al. 2021

View full text Add to dashboard Cite

show abstract

“…whereÃ is a Fuzzy restriction on the values that X A can take, andR is the reliability of valueÃ [41]. In fact, the probability ofÃ value is estimated byR.…”

Section: Basic Preliminaries Of Z Numbersmentioning

confidence: 99%

Human reliability analysis in de-energization of power line using HEART in the context of Z-numbers

et al. 2021

View full text Add to dashboard Cite

Investigation reveals that a high percentage of incident causes are ascribed to some forms of human error. To effectively prevent incidents from happening, Human Reliability Analysis (HRA), as a structured way to represent unintentional operator contribution to system reliability, is a critical issue. Human Error Reduction and Assessment Technique (HEART) as a famous HRA technique, provides a straightforward method to estimate probabilities of human error based on the analysis of tasks. However, it faces varying levels of uncertainty in assigning of weights to each error producing condition (EPC), denoted as assessed proportion of affect (APOA), by experts. To overcome this limitation and consider the confidence level (reliability or credibility) of the experts, the current study aimed at proposing a composite HEART methodology for human error probability (HEP) assessment, which integrates HEART and Z-numbers short for, Z-HEART. The applicability and effectiveness of the Z-HEART has been illustrated in the de-energization power line as a case study. Furthermore, a sensitivity analysis is fulfilled to investigate the validity of the proposed methodology. It can be concluded that Z-HEART is feasible for assessing human error, and despite the methodological contributions, it offers many advantages for electricity distribution companies.

show abstract

“…In addition, it is one of the widely used methods to evaluate and rank combat tasks by using various evaluation methods. For example, an evaluation method combining the Analytical Hierarchy Process (AHP) method and fuzzy mathematics [33][34][35], Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method in dynamic environment [36][37][38], Data Envelopment Analysis (DEA) method which is less affected by the subjective factors of decision makers [39][40][41], and entropy method combined with the above method [42,43], etc.…”

Section: Moeas For Operational Task Schedulingmentioning

confidence: 99%

A multi-objective scheduling method for operational coordination time using improved triangular fuzzy number representation

2021

View full text Add to dashboard Cite

In modern warfare, the comprehensiveness of combat domain and the complexity of tasks pose great challenges to operational coordination.To address this challenge, we use the improved triangular fuzzy number to express the combat mission time, first present a new multi-objective operational cooperative time scheduling model that takes the fluctuation of combat coordinative time and the time flexibility between each task into account. The resulting model is essentially a large-scale multi-objective combinatorial optimization problem, intractably complicated to solve optimally. We next propose multi-objective improved Bat algorithm based on angle decomposition (MOIBA/AD) to quickly identify high-quality solutions to the model. Our proposed algorithm improves the decomposition strategy by replacing the planar space with the angle space, which helps greatly reduce the difficulty of processing evolutionary individuals and hence the time complexity of the multi-objective evolutionary algorithm based on decomposition (MOEA/D). Moreover, the population replacement strategy is enhanced utilizing the improved bat algorithm, which helps evolutionary individuals avoid getting trapped in local optima. Computational experiments on multi-objective operational cooperative time scheduling (MOOCTS) problems of different scales demonstrate the superiority of our proposed method over four state-of-the-art multi-objective evolutionary algorithms (MOEAs), including multi-objective bat Algorithm (MOBA), MOEA/D, non-dominated sorting genetic algorithm version II (NSGA-II) and multi-objective particle swarm optimization algorithm (MOPSO). Our proposed method performs better in terms of four performance criteria, producing solutions of higher quality while keeping a better distribution of the Pareto solution set.

show abstract

LBWA – Z-MAIRCA Model Supporting Decision Making in the Army

Cited by 33 publications

References 25 publications

“A multi-tier sustainable food supplier selection model under uncertainty”

“A multi-tier sustainable food supplier selection model under uncertainty”

Human reliability analysis in de-energization of power line using HEART in the context of Z-numbers

A multi-objective scheduling method for operational coordination time using improved triangular fuzzy number representation

Contact Info

Product

Resources

About