Proposed Model for Evaluating Information Systems Quality Based on Single Valued Triangular Neutrosophic Numbers

Aal, Samah Ibrahim Abdel; Ellatif, Mahmoud M. A. Abd; Hassan, Mohamed Monir

doi:10.5815/ijmsc.2018.01.01

Cited by 10 publications

(1 citation statement)

References 25 publications

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“…Deli andŞubaş [29] integrated the TFN and triangular intuitionistic fuzzy numbers (TIFN) for reviewing several MCDM problems. Aal et al [30] explored two ranking means through information system quality under the TFN information. Liu [31] studied the operators of SVNs weighted averaging and SVNs weighted geometric to implement a decision-making problem.…”

Section: Introductionmentioning

confidence: 99%

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple-Criteria Group Decision Making Problems

Irvanizam

Zuhra

et al. 2020

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In this manuscript, we extend the traditional multi-attributive border approximation area comparison (MABAC) method for the multiple-criteria group decision-making (MCGDM) with triangular fuzzy neutrosophic numbers (TFNNs) to propose the TFNNs-MABAC method. In the proposed method, we utilize the TFNNs to express the values of criteria for each alternative in MCGDM problems. First, we briefly acquaint the basic concept of TFNNs and describe its corresponding some operation laws, the functions of score and accuracy, and the normalized hamming distance. We then review two aggregation operators of TFNNs. Afterward, we combine the traditional MABAC method with the triangular fuzzy neutrosophic evaluation and provide a sequence of calculation procedures of the TFNNs-MABAC method. After comparing it with some TFNNs aggregation operators and another method, the results showed that our extended MABAC method can not only effectively handle the conflicting attributes, but also practically deal with incomplete and indeterminate information in the MCGDM problem. Therefore, the extended MABAC method is more effective, conformable, and reasonable. Finally, an investment selection problem is demonstrated as a practice to verify the reasonability of our MABAC method.

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Section: Introductionmentioning

confidence: 99%

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple-Criteria Group Decision Making Problems

Irvanizam

Zuhra

et al. 2020

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An Extended MULTIMOORA Based on Trapezoidal Fuzzy Neutrosophic Sets and Objective Weighting Method in Group Decision-Making

et al. 2022

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Multi-objective optimization based on ratio analysis plus full multiplicative form (MUL-TIMOORA) is an efficient decision-making method for solving multi-criteria group decision-making (MCGDM) processes. It uses three strategies to examine different alternatives and to determine their evaluation values. These strategies include ratio system approach (RSA), reference point approach (RPA), and full multiplicative form (FMF). However, this method presents some challenges in the examination model, such as the ability to aggregate and determine the final result according to these strategies without considering value differences, the complexity of calculating the aggregation and multi-time comparisons, and the probability of distinguishing circular reasoning rules in dominance theory. In addition, determining an appropriate instrument for handling uncertainty, inconsistency, and incompleteness of information and a suitable weight for each criterion and decision-maker for reducing human interventions are also considered and will be a complex MCGDM process. To overcome these weaknesses, we propose an extended MULTI-MOORA based on trapezoidal fuzzy neutrosophic numbers (TraFNNs) for MCGDM. We integrated it with ordinal priority approach (OPA) method to decide the initial weights for decision-makers and criteria without human subjective assessment. In addition, we used correlation coefficient and standard deviation (CCSD) technique to statistically compute the relationship between these strategies in resolving unique weights to obtain realistic results and eliminate the above issues. Finally, sensitivity and comparative analyses demonstrate the capability and effectivity of the extended method.INDEX TERMS Correlation coefficient and standard deviation method, multi-criteria group decisionmaking, MULTIMOORA method, trapezoidal fuzzy neutrosophic number.

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Research on Value Assessment of Wechat Public Number Transaction

Yang¹

2019

Proceedings of the First International Symposium on Management and Social Sciences (ISMSS 2019)

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After years of development, Wechat Public Platform has become an indispensable part of the self-Media industry. It has also become the dependence of numerous micro-credit users, and has also brought direct income to more self-Media people. This paper takes Wechat Public Number as an object, and discusses its value evaluation and related issues in the process of trading, analyses the development process of Wechat tool, its public platform and public number, the market demand and transaction process of Wechat public number trading. It studies the problems of data authenticity discrimination, transfer mode, potential risk, legal effect and policy application in the process of public number trading of Wechat, probes into the basis, ideas and methods of Weixin Public nunber transaction valuation.

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Proposed Model for Evaluating Information Systems Quality Based on Single Valued Triangular Neutrosophic Numbers

Cited by 10 publications

References 25 publications

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple-Criteria Group Decision Making Problems

An Extended MABAC Method Based on Triangular Fuzzy Neutrosophic Numbers for Multiple-Criteria Group Decision Making Problems

An Extended MULTIMOORA Based on Trapezoidal Fuzzy Neutrosophic Sets and Objective Weighting Method in Group Decision-Making

Research on Value Assessment of Wechat Public Number Transaction

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