A grey-based assessment model to evaluate health-care waste treatment alternatives in Libya

Badi, Ibrahim; Shetwan, Ali; Hemeda, Ali

doi:10.31181/oresta1903092b

Cited by 18 publications

(16 citation statements)

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“…Future research may be based on the integration of particular short sections and their evaluation, and the development of the MARCOS method with other theories such as neutrophic [23], single-valued intuitionistic fuzzy numbers [24], grey theory [25] and others. Moreover, the approach of a building consensus in group decision making with information granularity [26] or the concept of a granular fuzzy preference relation where each pairwise comparison is formed as a certain information granule can be implemented [27].…”

Section: Discussionmentioning

confidence: 99%

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

et al. 2020

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In this paper, a new fuzzy multi-criteria decision-making model for traffic risk assessment was developed. A part of a main road network of 7.4 km with a total of 38 Sections was analyzed with the aim of determining the degree of risk on them. For that purpose, a fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (fuzzy MARCOS) method was developed. In addition, a new fuzzy linguistic scale quantified into triangular fuzzy numbers (TFNs) was developed. The fuzzy PIvot Pairwise RElative Criteria Importance Assessment—fuzzy PIPRECIA method—was used to determine the criteria weights on the basis of which the road network sections were evaluated. The results clearly show that there is a dominant section with the highest risk for all road participants, which requires corrective actions. In order to validate the results, a comprehensive validity test was created consisting of variations in the significance of model input parameters, testing the influence of dynamic factors—of reverse rank, and applying the fuzzy Simple Additive Weighing (fuzzy SAW) method and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (fuzzy TOPSIS). The validation test show the stability of the results obtained and the justification for the development of the proposed model.

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Section: Discussionmentioning

confidence: 99%

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

et al. 2020

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“…The analysis of input-output mappings is performed in order to notice the influence of the choice of membership functions and their arrangement on the shape of the output, the set of possible solutions (Badi et al, 2019). The dependence of one output on another one can be shown by a graph of the function, and its analysis helps in selecting the membership function and forming rules.…”

Section: Fuzzy Logic Systemmentioning

confidence: 99%

Model for selecting a route for the transport of hazardous materials using a fuzzy logic system

Milošević¹,

Pamučar²,

Chatterjee³

2021

Vojnotehnički glasnik

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Introduction/purpose: The paper presents a model for the selection of a route for the transport of hazardous materials using fuzzy logic systems, as a type of artificial intelligence systems. The system presented in the paper is a system for assistance in the decisionmaking process of the traffic service authorities when choosing one of several possible routes on a particular path when transporting hazardous materials. Methods: The route evaluation is performed on the basis of five criteria. Each input variable is represented by three membership functions, and the output variable is defined by five membership functions. All rules in a fuzzy logic system are determined by applying the method of weight premise aggregation (ATPP), which allows the formation of a database based on experience and intuition. Based on the number of input variables and the number of their membership functions, the basic base of 243 rules is defined. Three experts from the Ministry of Defense were interviewed to determine the weighting coefficients of the membership functions, and the values of the coefficients were determined using the Full Consistency Method (FUCOM). Results: A user program which enables the practical application of this model has been created for the developed fuzzy logic system. Conclusion: The user platform was developed in the Matlab 2008b software package.

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“…Furthermore, with dynamic and growing business environment organizations have to make sure that their strategies are transformed into subsequent actions through a more meticulous and precise consideration of the objectives of related stakeholders. BSC model is often suggested and approved as an inclusive management tool linking critical strategic and short-term action planning (Kaplan, 1994;Badi et al, 2019). This technique is developed in such a way that it cancels the most typical and trivial mistake of the existing traditional systems of performance management, i.e.…”

Section: Bsc Modelmentioning

confidence: 99%

Performance evaluation of an insurance company using an integrated Balanced Scorecard (BSC) and Best-Worst Method (BWM)

Dwivedi¹,

Prasad

Mandal³

et al. 2020

Decis. Mak. Appl. Manag. Eng.

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Recent economy and financial business environment is undergoing a quick and accelerating revolution and paradigm shift, resulting in growing uncertainty and complexity. Therefore, the need for an all-inclusive and far-reaching performance measurement model is universally felt as it can provide management-oriented information and act as a supporting tool in developing, inspecting, and interpreting policy-making strategies of an enterprise to achieve competitive advantages. Hence, this paper proposes an application of the balanced scorecard (BSC) model in an insurance organization for coordinating and regulating its corporate vision, mission, and strategy with organizational performance through the interrelation of different layers of business perspectives. In the next stage, a framework to unify both BSC and best-worst method (BWM) models is implemented for the very first time in the insurance domain to assess its performance over two-time periods. The integrated BSC-BWM model can help managers and decision-makers to figure out and interpret competing strength of the said enterprise and consecutively expedite inefficient and compelling decision making. Nevertheless, this integrated model is embraced and selected for a certain categorical business and there is enough future scope for its application to distinct industries.

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A grey-based assessment model to evaluate health-care waste treatment alternatives in Libya

Cited by 18 publications

References 0 publications

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

A New Fuzzy MARCOS Method for Road Traffic Risk Analysis

Model for selecting a route for the transport of hazardous materials using a fuzzy logic system

Performance evaluation of an insurance company using an integrated Balanced Scorecard (BSC) and Best-Worst Method (BWM)

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