Blockchain Papers

Ali Karaşan, İ̇hsan Kaya, Melike Erdoğan, Murat Çolak

No abstract is available for this record.

İsmail Erol, İskender Peker, İlker Murat Ar, İsmet Turan · 5 authors

No abstract is available for this record.

Han Lai, Huchang Liao

No abstract is available for this record.

Aijun Liu, Taoning Liu, Jian Mou, Ruiyao Wang

This study assesses supplier selection at the beginning of project management to establish an evaluation system corresponding to blockchain tracing anti-counterfeiting platforms (BTAP). First, this paper determines 20 evaluation criteria from the four dimensions of platform overview, core technology, application support, and operations management. On this basis, multi-criteria decision making (MCDM) based on customer needs is proposed, which consists of three main steps. First, quality function deployment (QFD) and the best and worst method (BWM) are used to evaluate the four dimensions of the BTAP and specific evaluation criteria from the perspective of customers to obtain the criteria weight. Then, this method uses the extended Vlse Kriterjumska Optimizacija I Kompromisno Resenje (VIKOR) approach to sort the alternatives. Finally, the improved decision making trial and evaluation laboratory (DEMATEL) method is used to analyse the relationships between the 20 criteria in the four dimensions. The feasibility and effectiveness of this method are verified by an example. According to the sensitivity analysis and comparative analysis, the results show that this method can evaluate blockchain anti-counterfeiting enterprises. The main conclusions are as follows: the core technology is the most important factor influencing the choice of a BTAP project, and the role of application support in evaluation cannot be ignored.

Shengqiang Li, Hua Zhang, Wei Yan, Zhigang Jiang

No abstract is available for this record.

Guangxia Xu, Yong Liu, Prince Waqas Khan

United Nations security council resolutions are voted on by fifteen members of the security council. A resolution will be deemed to be adopted if more than nine of the member states adopt it and all five permanent members do not use the veto. The five permanent members can vote yes, no, and abstain against a resolution. The vague set can be explained intuitively with the voting model, indicating the three conditions for voting. Which are favor, against, and abstention. When the agent nodes were selected by the consensus mechanism of delegated proof of stake (DPoS), the voting node can only vote support instead of against and abstention, and there are no penalties for malicious nodes. Besides, there is no clear method to select the agent node if the votes obtained by the last agent node are the same as the votes cast by others. This article puts forward a kind of vague set to improve DPoS consensus mechanism. Just like how human elections are held, this method allows each node to vote for the agent node. This is a fair and effective way of selecting agent node when alternate nodes are of the same value, it improves the security and fairness of blockchain, reduces the probability that malicious nodes will be selected as agent nodes. We prove that the maximum probability of nodes after the vote of the fuzzy membership degree is 0.5. The feasibility and effectiveness of the improved consensus mechanism is verified by examples.

Feifei Jin, Lidan Pei, Huayou Chen, Reza Langari · 5 authors

This study presents a novel multi-attribute decision-making (MADM) model on the basis of Pythagorean fuzzy linguistic information measures. To do so, we first present a new concept of Pythagorean fuzzy linguistic sets to describe fuzziness and inconsistent information, in which the Pythagorean fuzzy linguistic values (PFLVs) are represented by the linguistic membership degree and linguistic non-membership degree. Then, we introduce two axiomatic definitions of information measures for PFLVs, including Pythagorean fuzzy linguistic entropy and the Pythagorean fuzzy linguistic similarity measure, to measure the uncertainty degree of PFLVs and the similarity degree between among PFLVs. In addition, based on the logarithmic function, we construct two new information measure formulas and verify that they satisfy the axiomatic conditions of the Pythagorean fuzzy linguistic entropy and similarity measure, respectively. We further explore the relationship between the Pythagorean fuzzy linguistic entropy and similarity measure. Finally, we present a novel Pythagorean fuzzy linguistic MADM model with the Pythagorean fuzzy linguistic entropy and similarity measure. A numerical example of selecting the most desirable sustainable blockchain product is given, and a comparison with the existing approach was performed to validate the reliability of the developed decision-making model.

D. Nagarajan, M. Lathamaheswari, Said Broumi, J. Kavikumar

Blockchain Technology (BCT) is a growing and reliable technology in various fields such as developing business<br> deals, economic environments, social and politics as well. Without having a trusted central party this technology, gives the<br> guarantee for safe and reliable transactions using Bitcoin or Ethereum. In this paper BCT has been considered using Bitcoins.<br> Also Blockchain Single and Interval Valued Neutrosophic Graphs have been proposed and applied in transaction of Bitcoins.<br> Also degree, total degree, minimum and maximum degree have been found for the proposed graphs. Further, comparative<br> analysis is done with advantages and limitations of different types of Blockchain graphs.

J.R.Q. Verkleij

The blockchain technology is a new innovation with the potential to disrupt the\nworld as we currently know it, despite several limitations and challenges to overcome.\nOne of these challenges for software producing organizations is selecting the\nright technology for their case. In this research, we haveve identified this selection\nprocess as a multi-criteria decision making problem. Based on this we have created\na Decision Support System which aids developers during the technology selection\nprocess of blockchain platforms. Contemporary solutions to this problem were only\nrather simplistic decision-trees, which struggle with complexity and adaptations.\nThe novelty of this Decision Support System lies in being a feature-based artifact\nwhich incorporates ISO Software Quality Aspects and feature prioritization based\non the MoSCoW-technique. These contemporary generic blockchain features have\nbeen gathered through nine interviews with blockchain experts. Based on prioritized\nfeatures as input, the Decision Support System gives a score for feasible solutions\n(e.g. Ethereum or Hyperledger) as result. This Decision Support System was\nevaluated in three different case-studies for organization creating blockchain-based\nsolutions. In addition to this, the artifact has been validated by a blockchain-domain\nexpert. The main difficulties and obstacles of this whole research were grounded in\nthe immaturity of the blockchain domain as a whole.

Mohamed Marzouk, Lobna El-Mesteckawi

The decision of selecting the appropriate procurement/delivery system for large investment construction projects is a critical and challenging task for clients, and therefore a significant factor for the project’s success. Complex projects as electric power plants can involve managing multiple contracts or subcontracts simultaneously or in sequence. The aim of this paper is to develop, and analyze a decision support tool to select the most efficient procurement/delivery system for multiple contracts Combined Cycle Power Plants (CCPP) constructed in Egypt and funded by the publicsector. This process involved the identification of various procurement routes, followed by the utilization of quantitative values developed in accordance with the requirements of the multi-criteria decision analysis technique known as simple multi-attribute rating technique (SMART). Results revealed that the procurement/delivery system with the highest score, for all contractual packages, is the integrated project delivery method (IPD) under which other procurement/delivery methods could be utilized such as performance-based contracting (PBC), and construction management (CM). Further in this research, a sensitivity analysis approach was adopted to validate the IPD selection, and to determine the most critical criterion and the most critical measure of performance for each contractual package.

Andrew Mastin, Patrick Jaillet, Sang Chin

The minmax regret problem for combinatorial optimization under uncertainty\ncan be viewed as a zero-sum game played between an optimizing player and an\nadversary, where the optimizing player selects a solution and the adversary\nselects costs with the intention of maximizing the regret of the player. The\nexisting minmax regret model considers only deterministic solutions/strategies,\nand minmax regret versions of most polynomial solvable problems are NP-hard. In\nthis paper, we consider a randomized model where the optimizing player selects\na probability distribution (corresponding to a mixed strategy) over solutions\nand the adversary selects costs with knowledge of the player's distribution,\nbut not its realization. We show that under this randomized model, the minmax\nregret version of any polynomial solvable combinatorial problem becomes\npolynomial solvable. This holds true for both the interval and discrete\nscenario representations of uncertainty. Using the randomized model, we show\nnew proofs of existing approximation algorithms for the deterministic model\nbased on primal-dual approaches. Finally, we prove that minmax regret problems\nare NP-hard under general convex uncertainty.\n

D.N. Georgiou, Essam Sh. Mohammed, Stélios Rozakis

The important energy requirements for the desalination process impose especially in autonomous and decentralized plants supplied by Renewable Energy Sources (RES). In this paper, five alternative energy generation topologies of Reverse Osmosis desalination process are evaluated. The proposed topologies assessed in terms of economic, environmental, technological and societal indices are compared using multi-criteria analysis, namely the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE). Ranking of topologies resulted in the selection of direct connection and hybrid configuration as optimum solutions. In case economic priorities prevail diesel generation should also be considered.

Adetokunbo A. Oyetunji, Stuart D. Anderson

Project delivery systems define the roles and responsibilities of the parties involved in a project. They also establish an execution framework in terms of sequencing of design, procurement, and construction. The decision made in the selection of a project delivery system for a project impacts all phases of execution of the project and greatly impacts the efficiency of project execution. Such decisions should be facilitated by thorough analysis. Structured, quantitative decision analysis processes have been shown to have several benefits over the simplistic, holistic, and informal processes that typically characterize subjective evaluations. However, a dearth of quantitative values of project delivery systems established and validated through research has invariably left project managers with no alternative than to make project delivery selection decisions on the basis of subjective evaluations. Development of the needed quantitative values for application in a decision analysis process would greatly enhance the quality of the decision-making process and provide a defensible rationale for selection of project delivery systems for capital projects. This paper presents research findings that provide the needed quantitative values in this area. Based on the quantitative values defined here, interested parties can develop and implement quantitative evaluation of project delivery alternatives to identify the optimal solution for a given project. Multicriteria decision analysis was found to be the suitable approach for a quantitative, analytical evaluation of project delivery systems. Consequently, the quantitative values presented in this paper were developed in accordance with the requirements of the multicriteria decision analysis technique known as simple multiattribute rating technique with swing weights (SMARTS). Utilizing the quantitative values presented here and applying the analysis technique of SMARTS, a decision support tool has been developed and validated for the Construction Industry Institute. The decision support tool is presently being utilized by member companies of the Construction Industry Institute that were privy to its development. With the presentation of the quantitative values in this paper, other parties interested in developing similar tools would benefit from the research results presented here.

Zhihong Liang, Kun Yang, Yaowei Sun, Jiahai Yuan · 6 authors

No abstract is available for this record.