scholarly journals A Novel Integrated Fuzzy-Rough MCDM Model for Evaluation of Companies for Transport of Dangerous Goods

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Nikolina Vojinović ◽  
Siniša Sremac ◽  
Dragan Zlatanović
Keyword(s):  
Decision Making ◽  
Significant Contribution ◽  
Multiple Criteria Decision Making ◽  
Dangerous Goods ◽  
Transport Unit ◽  
The Stability ◽  
Transport Of Dangerous Goods ◽  
Decision Making Model ◽  
First Time ◽  
Dynamic Formation

The organization and execution of the transport of dangerous goods is conditioned by a series of legal, technical, technological, safety, and engineering requirements, which must be met. In this way, a complex system is created which has a large number of participants and in which optimization should be performed at each stage from all the above aspects. The main goal of this paper is to create a novel Fuzzy-Rough MCDM (Multiple-Criteria Decision-Making) for the evaluation of companies engaged in the transport of dangerous goods. A group decision-making model was created to evaluate 11 transport companies based on nine legal, technical, technological criteria. The improved fuzzy stepwise weight assessment ratio analysis (IMF SWARA) method was used to calculate the criterion weights, while transport companies were ranked based on Rough Measurement Alternatives and Ranking according to the COmpromise Solution (R-MARCOS). The integration of these methods into a single model that combines two theories of uncertainty, fuzzy and rough, was performed for the first time in this study, which represents a significant contribution. The results show that the most significant criteria are as follows: dangerous goods are classified and permitted under ADR (Agreement Concerning the International Carriage of Dangerous Goods by Road), the prescribed documents are in the transport unit, and the equipment is in the transport unit. When it comes to the evaluation results of companies, it can be noticed that A1 and A4 show the best performance, while A8 and A9 are in the last position. In order to test the stability of the model developed, sensitivity analysis, comparative analysis, and the influence of the dynamic formation of the initial matrix were created.

scholarly journals Environmental Impact Modeling for Transportation of Hazardous Liquids

2021 ◽  
Vol 13 (20) ◽  
pp. 11367
Author(s):  
Zdenek Dvorak ◽  
Bohus Leitner ◽  
Michal Ballay ◽  
Lenka Mocova ◽  
Pavel Fuchs
Keyword(s):  
Relevant Information ◽  
Management Tool ◽  
Entire Volume ◽  
Dangerous Goods ◽  
Comprehensive Information ◽  
Proposed Model ◽  
Transport Unit ◽  
Basic Set ◽  
Transport Of Dangerous Goods ◽  
Set Of Points

Modeling the effects of leakage in the transport of hazardous liquids is a highly topical issue, not only in the field of environmental engineering. This article’s introduction presents relevant information and statistical sources, analyzes selected scientific and professional publications, and characterizes the results of selected research projects. The applied approaches, methods, and results of our research specify the processes of developing and testing a theoretical model of spreading the impacts of leakage of hazardous liquids on biological components of the environment. The proposed model for predicting the environmental impacts of hazardous liquid (HL) leakage during transport is a crucial risk management tool in the planning of transport of dangerous goods. It also enables the creation of comprehensive information systems that monitor the transport unit in real-time, indicate the presence of significant habitats along the transport route, and draw attention to possible threats, in particular to the health and lives of people and the environment. The main result of the presented research is the application of a computational model for determining the parameters of the dangerous zone in case of HL leakage and its graphical plotting along the transport route, estimating the probability of impacting the selected place by leaking HL. The model application results are presented in the form of calculated frequency of impacting the set of points in the vicinity of the HL transport route. Defined standardized frequencies of HL infiltration above a specified limit in liters per square meter in the event of leakage of the entire volume of HL from a road tanker (leaked volume of 30 m3) form the basic set of information for creating relevant risk maps near busy traffic routes and subsequent selection of ecologically and spatially optimal routes.

Applied Rough Set Logics for Multi-Criteria Decision Analysis in Stock Index Volatility Projection

2011 ◽  
Vol 14 (04) ◽  
pp. 715-735
Author(s):  
Wen-Rong Jerry Ho
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Stock Index ◽  
Rule Based ◽  
Set Up ◽  
Decision Making Model

The main purpose of this paper is to advocate a rule-based forecasting technique for anticipating stock index volatility. This paper intends to set up a stock index indicators projection prototype by using a multiple criteria decision making model consisting of the cluster analysis (CA) technique and Rough Set Theory (RST) to select the important attributes and forecast TSEC Capitalization Weighted Stock Index. The projection prototype was then released to forecast the stock index in the first half of 2009 with an accuracy of 66.67%. The results point out that the decision rules were authenticated to employ in forecasting the stock index volatility appropriately.

A multiple-criteria decision-making model for the selection of a hotel location

2019 ◽  
Vol 84 ◽  
pp. 49-58 ◽  
Author(s):  
Gabrijela Popovic ◽  
Dragisa Stanujkic ◽  
Miodrag Brzakovic ◽  
Darjan Karabasevic
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Decision Making Model ◽  
Selection Of

Entropy–KEMIRA Approach for MCDM Problem Solution in Human Resources Selection Task

2017 ◽  
Vol 16 (05) ◽  
pp. 1183-1209 ◽  
Author(s):  
Aleksandras Krylovas ◽  
Stanislavas Dadelo ◽  
Natalja Kosareva ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Optimization Problem ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Selection Task ◽  
Life Goals ◽  
Problem Solution ◽  
Criteria Weights ◽  
First Time

Entropy–KEMIRA approach is proposed for criteria ranking and weights determining when solving Multiple Criteria Decision-Making (MCDM) problem in human resources selection task. For the first time the method is applied in the case of three groups of criteria. Weights are calculated by solving optimization problem of maximizing the number of elements, which are “best” according to all three criteria, and minimizing the number of “doubtful” elements. The algorithm of problem solution is presented in the paper. The numerical experiment with three groups of evaluation criteria describing 11 life goals was accomplished.

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