Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies

Gohari, Adel; Ahmad, Anuar; Balasbaneh, Ali Tighnavard; Gohari, Ali; Hasan, Razi; Sholagberu, Abdulkadir Taofeeq

doi:10.1016/j.tranpol.2022.03.015

Cited by 30 publications

(7 citation statements)

References 52 publications

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“…The same or similar position in individual rankings is occupied by: Sweden (Temporal PROSA: 1, DARIA-TOPSIS: 1), Denmark (3,3), Austria (4, 5), Latvia (5, 7), Croatia (8,11), Hungary (14,14), Slovakia (16,18), Germany (20,19), Cyprus (27,25). In turn, the largest differences in terms of positions in the rankings occur in the following countries: Estonia (17, 4), Ireland (19,6), Spain (9, 23), Italy (7,21), Luxembourg (26,10), The Netherlands (23,13), Poland (25,12), Portugal (2,24), Romania (10,22). It can be concluded that for some countries the differences in rankings are significant.…”

Section: Discussionmentioning

confidence: 99%

“…Multi-criteria decision-making (MCDM) methods are used in this type of decision-making problems. This is a group of advanced analytical methods that help in optimal decision-making by evaluating competing alternatives based on contradictory (conflicting) criteria [24]. Typically, in MCDM methods, each criterion is assigned a single value, which may be, for example, the average of fulfilling the criterion in a given period, the value at the time of making the decision (current data) or other static data [25].…”

Section: Static and Dynamic Approach To Decision-makingmentioning

confidence: 99%

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Temporal Analysis of Energy Transformation in EU Countries

Ziemba,

Zair

2023

Energies

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Due to the environmental policy adopted by the European Union (EU), EU countries are obliged to reduce greenhouse gas emissions. They reduce emissions largely through the energy transformation and switching to renewable energy sources (RES). Therefore, it is important to assess the progress of the energy transformation of individual EU countries. This is related to the aim of the article, which is a temporal analysis of the energy transformation process towards the transition to RES and reducing the use of fossil fuels in energy production. To achieve this goal, a new Temporal/Dynamic Multi-Criteria Decision-Making (T/DMCDM) method called Temporal PROSA was developed, based on the PROMETHEE and PROSA family of methods. The Temporal PROSA method, unlike many other T/DMCDM methods, enables the aggregation of data from many periods into a single final assessment, as well as the direct transfer of information from the examined periods to the overall result. As a result of the research, EU countries that dominated in terms of progress in energy transformation towards RES in the years 2004–2021were identified. Based on the data and methodology used, it was indicated that these countries are primarily Sweden and Portugal, and recently also Denmark and Finland. On the other hand, countries such as Belgium, Bulgaria, Cyprus, Luxembourg, and Poland made the least progress between 2004 and 2021.

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Section: Discussionmentioning

confidence: 99%

Section: Static and Dynamic Approach To Decision-makingmentioning

confidence: 99%

Temporal Analysis of Energy Transformation in EU Countries

Ziemba,

Zair

2023

Energies

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“…The goal of MCDM is to choose the most excellent option from a group of alternatives characterized by multiple, usually conflicting criteria. Researchers have introduced various MCDM methods in the past few decades to successfully tackle decision-making problems [8][9][10][11]. TOPSIS [12] is a well-known MCDM technique that is utilized to locate the optimal result which is nearer to a positive ideal solution (PIS) and a long way from a negative ideal solution (NIS).…”

Section: Introductionmentioning

confidence: 99%

Novel Scheme for Robust Confusion Component Selection Based on Pythagorean Fuzzy Set

Abughazalah¹,

Iqbal²,

Khan³

et al. 2023

Computers, Materials &Amp; Continua

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The substitution box, often known as an S-box, is a nonlinear component that is a part of several block ciphers. Its purpose is to protect cryptographic algorithms from a variety of cryptanalytic assaults. A Multi-Criteria Decision Making (MCDM) problem has a complex selection procedure because of having many options and criteria to choose from. Because of this, statistical methods are necessary to assess the performance score of each S-box and decide which option is the best one available based on this score. Using the Pythagorean Fuzzy-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, the major objective of this investigation is to select the optimal S-box to be implemented from a pool of twelve key choices. With the help of the Pythagorean fuzzy set (PFS), the purpose of this article is to evaluate whether this nonlinear component is suitable for use in a variety of encryption applications. In this article, we have considered various characteristics of S-boxes, including nonlinearity, algebraic degree, strict avalanche criterion (SAC), absolute indicator, bit independent criterion (BIC), sum of square indicator, algebraic immunity, transparency order, robustness to differential cryptanalysis, composite algebraic immunity, signal to noise ratio-differential power attack (SNR-DPA), and confusion coefficient variance on some standard S-boxes that are Advanced Encryption Following this, the findings of the investigation are changed into Pythagorean fuzzy numbers in the shape of a matrix. This matrix is then subjected to an analysis using the TOPSIS method, which is dependent on the Pythagorean fuzzy set, to rank the most suitable S-box for use in encryption applications.

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“…To address these issues, the EU has set ambitious targets for a competitive and resource-efficient transport system, including a shift towards more sustainable modes of transport like rail and waterway transport [17]. This modal shift represents a crucial step towards reducing the environmental impact of the transport sector while ensuring efficient and reliable transportation of goods [18,19]. By diversifying transportation modes and promoting sustainable practices, the transport sector can make a significant contribution to the broader goal of achieving a more sustainable and resilient economy.…”

Section: Introductionmentioning

confidence: 99%

Min-cost route problems for multimodal sustainable logistics cooperation

Cerrone,

Sciomachen,

Truvolo

2023

Preprint

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This paper addresses the urgent need for sustainable logistics practices in the context of the current global climate emergency. In particular, the proposed study faces the problem of defining the paths of different carriers to transport goods while reducing the environmental impact in a multimodal logistics network. We present a mathematical programming framework designed to answer questions related to the use of available payload, the number of transhipments needed, and the transport cost, including environmental impact. In practice, we solve multimodal shortest path problems in which paths of different carriers to transport units of goods from an origin to a destination intersect each other. The search for the optimal solution considers several parameters oriented towards the paradigm of cooperative logistics and the green impact. In fact, the proposed framework is able to gather information on a series of transports carried out by vehicles of different types (trucks, trains, ships, airplanes). Up to 3.240 test instances were generated and solved to optimality using the proposed mathematical model based on the underlying multimodal graph.

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Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies

Cited by 30 publications

References 52 publications

Temporal Analysis of Energy Transformation in EU Countries

Temporal Analysis of Energy Transformation in EU Countries

Novel Scheme for Robust Confusion Component Selection Based on Pythagorean Fuzzy Set

Min-cost route problems for multimodal sustainable logistics cooperation

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