Blockchain Software Selection as a Fuzzy Multi-Criteria Problem

Ilieva, Galina; Yankova, Tania; Radeva, Irina; Попчев, Иван

doi:10.3390/computers10100120

Cited by 20 publications

(8 citation statements)

References 35 publications

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“…Later, in 2022, due to the hard fork, eosio blockchain was renamed to Antelope.io [13], which forced the migration of the blockchain network. The development of the SCPDx platform was preceded by a number of studies related to the choice of blockchain platform [14], blockchain-enabled supply-chain modelling for a smart crop production framework [15], and blockchain oracles integration [16].…”

Section: Web Application Development and Implementationmentioning

confidence: 99%

Web Application for Retrieval-Augmented Generation: Implementation and Testing

Radeva,

Popchev,

Doukovska

et al. 2024

Electronics

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The purpose of this paper is to explore the implementation of retrieval-augmented generation (RAG) technology with open-source large language models (LLMs). A dedicated web-based application, PaSSER, was developed, integrating RAG with Mistral:7b, Llama2:7b, and Orca2:7b models. Various software instruments were used in the application’s development. PaSSER employs a set of evaluation metrics, including METEOR, ROUGE, BLEU, perplexity, cosine similarity, Pearson correlation, and F1 score, to assess LLMs’ performance, particularly within the smart agriculture domain. The paper presents the results and analyses of two tests. One test assessed the performance of LLMs across different hardware configurations, while the other determined which model delivered the most accurate and contextually relevant responses within RAG. The paper discusses the integration of blockchain with LLMs to manage and store assessment results within a blockchain environment. The tests revealed that GPUs are essential for fast text generation, even for 7b models. Orca2:7b on Mac M1 was the fastest, and Mistral:7b had superior performance on the 446 question–answer dataset. The discussion is on technical and hardware considerations affecting LLMs’ performance. The conclusion outlines future developments in leveraging other LLMs, fine-tuning approaches, and further integration with blockchain and IPFS.

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Section: Web Application Development and Implementationmentioning

confidence: 99%

Web Application for Retrieval-Augmented Generation: Implementation and Testing

Radeva,

Popchev,

Doukovska

et al. 2024

Electronics

Self Cite

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“…The documents resulting from the search operation have been reviewed and filtered by prioritizing those with (i) a significant number of descriptive criteria for blockchain technologies; (ii) a higher relevance in terms of pertinence to the searched keywords. At the end of the process, five documents have been identified [55,[57][58][59][60] that led to a total of 36 classification criteria.…”

Section: Criteria Selection Process 3211 the Selection Procedure The ...mentioning

confidence: 99%

“…Once the criteria have been defined, they have been filtered according to their occurrence in the five documents, as shown in Table A1 [56][57][58][59][60]. A criterion is selected if it appears in at least half of the works analyzed (three out of five).…”

Section: Identification Of Critical Criteriamentioning

confidence: 99%

Digitalizing Circular Economy through Blockchains: The Blockchain Circular Economy Index

Basile

D’Adamo

Goretti

et al. 2023

Journal of Industrial and Production Engineering

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The integration of circular economy (CE) models into everyday contexts generates huge amount of data involved in goods tracking and tokenization procedures. The sector of blockchain platforms is extremely varied, and the choice of the proper technology is not easy. It is important that the selection is conducted consistently with respect to the CE models. With this study, we present a performance index named Blockchain Circular Economy Index (BCEI). BCEI, obtained through Multicriteria Decision Analysis and Analytic Hierarchy Process, aims to measure the suitability of blockchain platforms to the needs highlighted by a CE scenario. The present study is contextualized by comparing six blockchain platforms, for each of which, the related BCEI is calculated. The results of the analysis show that transaction fee and energy consumption are the two most critical parameters. In addition, the results show the lack of a leading blockchain technology in CE models. Thus, there is a market space that can be exploited given the growing interest in digital and sustainable issues.

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“…The MCDM method is used to find the optimum solution depending on the criteria required by the decision-maker. MCDM is defined as evaluating multiple conflicting criteria while considering the decision criteria needed to determine the most efficient decision [62,63]. Multi-Attribute Utility Theory (MAUT), Analytic Hierarchy Process (AHP), Fuzzy Set Theory, Case-based Reasoning (CBR), Data Envelopment Analysis (DEA), Simple-Attribute Rating Technique, Goal Programming, ELECTRE, PROMETHEE, Simple Additive Weighting (SAW) and Technique for Order of Preference by similarity to Ideal Solution (TOPSIS) were the eleven types of MCDM methods identified [64,65].…”

Section: Multi-criteria Analysismentioning

confidence: 99%

A Review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

Alshahrani¹,

Kiah²,

B.³

et al. 2023

Computers, Materials &Amp; Continua

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A smart contract is a digital program of transaction protocol (rules of contract) based on the consensus architecture of blockchain. Smart contracts with Blockchain are modern technologies that have gained enormous attention in scientific and practical applications. A smart contract is the central aspect of a blockchain that facilitates blockchain as a platform outside the cryptocurrency spectrum. The development of blockchain technology, with a focus on smart contracts, has advanced significantly in recent years. However, research on the smart contract idea has weaknesses in the implementation sectors based on a decentralized network that shares an identical state. This paper extensively reviews smart contracts based on multi-criteria analysis, challenges and motivations. Therefore, implementing blockchain in multicriteria research is required to increase the efficiency of interaction between users via supporting information exchange with high trust. Implementing blockchain in the multi-criteria analysis is necessary to increase the efficiency of interaction between users via supporting information exchange and with high confidence, detecting malfunctioning, helping users with performance issues, reaching a consensus, deploying distributed solutions and allocating plans, tasks and joint missions. The smart contract with decision-making performance, planning and execution improves the implementation based on efficiency, sustainability and management. Furthermore, the uncertainty and supply chain performance lead to improved users' confidence in offering new solutions in exchange for problems in smart contacts. Evaluation includes code analysis and performance, while development performance can be under development.

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Blockchain Software Selection as a Fuzzy Multi-Criteria Problem

Cited by 20 publications

References 35 publications

Web Application for Retrieval-Augmented Generation: Implementation and Testing

Web Application for Retrieval-Augmented Generation: Implementation and Testing

Digitalizing Circular Economy through Blockchains: The Blockchain Circular Economy Index

A Review of Smart Contract Blockchain Based on Multi-Criteria Analysis: Challenges and Motivations

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