scholarly journals A Novel Integrated Interval Rough MCDM Model for Ranking and Selection of Asphalt Production Plants

Mathematics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 269
Author(s):  
Bojan Matić ◽  
Stanislav Jovanović ◽  
Milan Marinković ◽  
Siniša Sremac ◽  
Dillip Kumar Das ◽  
...  
Keyword(s):  
Decision Making ◽  
Solution Method ◽  
Group Decision ◽  
Asphalt Mixture ◽  
Asphalt Production ◽  
Rough Model ◽  
Criteria Importance ◽  
Autonomous Province ◽  
Importance Assessment ◽  
Selection Of

Asphalt production plants play an important role in the field of civil engineering, but also in the entire economic system since the construction of roads enables uninterrupted functioning within it. In this paper, the ranking of asphalt production plants on the territory of the Autonomous Province of Vojvodina has been performed. The modern economy needs contemporary models and methods to solve complicated MCDM problems and, for these purposes, it has been developed an original Interval Rough Number (IRN) Multi-criteria decision-making (MCDM) model that implies an extension of two methods belonging to the field with interval rough numbers. After forming a list of eight most significant criteria for assessing the efficiency of asphalt production plants, the Interval Rough Number PIvot Pairwise RElative Criteria Importance Assessment (IRN PIPRECIA) method was developed to determine the significance of the criteria. A total of 21 locations with asphalt mixture installation were considered. For that purpose, seven asphalt production plants were included, and for their ranking, the IRN EDAS (Evaluation based on Distance from Average Solution) method was created. The aim of this paper is to develop a novel interval rough model that can be useful for determining the efficiency of asphalt production plants. Averaging in group decision-making (GDM) for both methods was performed using an IRN Dombi weighted geometric averaging (IRNDWGA) aggregator. The obtained results show that (A15) Ruma (SP)–Mačvanska Mitrovica–Zasavica has the best characteristics out of the set of locations considered in this study. However, Alternatives A6 and A19 are also variants with remarkably good characteristics since there is very little difference in values compared to the first-ranked alternative. Also, the obtained results have shown that the developed model is applicable, which is proven through a comparative analysis.

scholarly journals An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

2021 ◽  
Vol 61 (2) ◽  
pp. 23-40
Author(s):  
Gabrijela Popović ◽  
Dragiša Stanujkić ◽  
Predrag Mimović ◽  
Goran Milovanović ◽  
Darjan Karabašević ◽  
...  
Keyword(s):  
Decision Making ◽  
Systematic Approach ◽  
Group Decision ◽  
Tourism Development ◽  
Integrated Model ◽  
Organization Management ◽  
Main Determinants ◽  
Criteria Importance ◽  
Importance Assessment

This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity.

Model for selection of hospital constructions with probabilistic linguistic GRP method

2021 ◽  
Vol 40 (1) ◽  
pp. 1245-1259
Author(s):  
Siqi Wang ◽  
Guiwu Wei ◽  
Jiang Wu ◽  
Cun Wei ◽  
Yanfeng Guo
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Correlation Method ◽  
Ideal Solution ◽  
Multiple Attribute ◽  
Probabilistic Linguistic Term Sets ◽  
Criteria Importance ◽  
Grey Relational ◽  
Selection Of

Probabilistic linguistic term sets are used to express uncertain decision information in multiple attribute group decision making problems. For probabilistic linguistic multiple attribute group decision making (MAGDM) with weight determined by CRITIC (Criteria Importance Through Intercriteria Correlation) method, the probabilistic linguistic grey relational projection method is proposed in this paper. Firstly, the correlation coefficient among attributes and standard deviation of each attribute are utilized to compute the attributes weights. Then the most ideal alternative is decided by means of counting the grey relational projection (GRP) from probabilistic linguistic positive ideal solution and probabilistic linguistic negative ideal solution. In the end, a numerical example for site selection of hospital constructions is applied to further account for the extended method. The result demonstrates the availability of the proposed method and it can be used in other fields which refers to problems of selection.

scholarly journals Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria Group Decision Based Analysis

Axioms ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 77 ◽  
Author(s):  
Sanjib Biswas ◽  
Dragan Pamucar
Keyword(s):  
Decision Making ◽  
Facility Location ◽  
Group Decision ◽  
Educational Institutions ◽  
Strategic Decisions ◽  
Location Selection ◽  
Selection Decision ◽  
Criteria Importance ◽  
School Selection ◽  
Importance Assessment

Facility location is one of the critical strategic decisions for any organization. It not only carries the organization’s identity but also connects the point of origin and point of consumption. In the case of higher educational institutions, specifically B-Schools, location is one of the primary concerns for potential students and their parents while selecting an institution for pursuing higher education. There has been a plethora of research conducted to investigate the factors influencing the B-School selection decision-making. However, location as a standalone factor has not been widely studied. This paper aims to explore various location selection criteria from the viewpoint of the candidates who aspire to enroll in B-Schools. We apply an integrated group decision-making framework of pivot pairwise relative criteria importance assessment (PIPRECIA), and level-based weight assessment LBWA is used wherein a group of student counselors, admission executives, and educators from India has participated. The factors which influence the location decision are identified through qualitative opinion analysis. The results show that connectivity and commutation are the dominant issues.

A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques

2020 ◽  
Vol 19 (03) ◽  
pp. 909-957 ◽  
Author(s):  
Karrar Hameed Abdulkareem ◽  
Nureize Arbaiy ◽  
A. A. Zaidan ◽  
B. B. Zaidan ◽  
O. S. Albahri ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Evaluation Criteria ◽  
Intelligent Algorithm ◽  
Image Dehazing ◽  
Intelligent Algorithms ◽  
Multi Criteria Evaluation ◽  
Criteria Importance ◽  
Selection Of

The increasing demand for image dehazing-based applications has raised the value of efficient evaluation and benchmarking for image dehazing algorithms. Several perspectives, such as inhomogeneous foggy, homogenous foggy, and dark foggy scenes, have been considered in multi-criteria evaluation. The benchmarking for the selection of the best image dehazing intelligent algorithm based on multi-criteria perspectives is a challenging task owing to (a) multiple evaluation criteria, (b) criteria importance, (c) data variation, (d) criteria conflict, and (e) criteria tradeoff. A generally accepted framework for benchmarking image dehazing performance is unavailable in the existing literature. This study proposes a novel multi-perspective (i.e., an inhomogeneous foggy scene, a homogenous foggy scene, and a dark foggy scene) benchmarking framework for the selection of the best image dehazing intelligent algorithm based on multi-criteria analysis. Experiments were conducted in three stages. First was an evaluation experiment with five algorithms as part of matrix data. Second was a crossover between image dehazing intelligent algorithms and a set of target evaluation criteria to obtain matrix data. Third was the ranking of the image dehazing intelligent algorithms through integrated best–worst and VIseKriterijumska Optimizacija I Kompromisno Resenje methods. Individual and group decision-making contexts were applied to demonstrate the efficiency of the proposed framework. The mean was used to objectively validate the ranks given by group decision-making contexts. Checklist and benchmarking scenarios were provided to compare the proposed framework with an existing benchmark study. The proposed framework achieved a significant result in terms of selecting the best image dehazing algorithm.

scholarly journals Application of Interval Fuzzy Logic in Selecting a Sustainable Supplier on the Example of Agricultural Production

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 774
Author(s):  
Adis Puška ◽  
Miroslav Nedeljković ◽  
Sarfaraz Hashemkhani Zolfani ◽  
Dragan Pamučar
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Asymmetric Information ◽  
Agricultural Production ◽  
Complete Information ◽  
Sustainable Supply Chain ◽  
Sustainability Criteria ◽  
Criteria Importance ◽  
Selection Of ◽  
Economic Criteria

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.

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