Implementing weighted entropy-distance based approach for the selection of software reliability growth models

Gupta, Aakash; Gupta, Neeraj; Garg, Ramesh Kumar

doi:10.1504/ijcat.2018.092990

Cited by 14 publications

(5 citation statements)

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“…The magnitude of its value reflects the degree of similarity between two vectors [38], i.e., the smaller the value of the Euclidean distance, the more similar the two vectors are. In this article, we add weights to the traditional Euclidean distance equation to form the WED method, which can calculate closeness more scientifically and accurately than can the traditional Euclidean distance method [39], improves the accuracy of measuring the spatial distance between two vectors in the structure of the multi-dimensional data space [40], and more accurately reflects the degree of similarity between two vectors. WED is widely used in the fields of data mining, cluster analysis, information point comparison, risk evaluation, and decision making [36,37,[41][42][43][44][45].…”

Section: Weighted Euclidean Distance (Wed) Methodsmentioning

confidence: 99%

The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

Guo,

Lv,

et al. 2024

Buildings

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A major railway project is a complex, giant system with multi-party participation, one characterized by complex geological conditions, long construction periods and large scale, which leads to an increased likelihood of safety risk events during construction. In order to solve the problem of scientific selection and formulation of safety risk prevention and control strategies for major railway projects, an auxiliary selection method of safety risk prevention and control strategies for major railway projects based on weighted Euclidean distance (WED) is proposed. The relevant ontology is used to conceptualize and formalize the knowledge of safety risks of major railroad projects, and combine the characteristics of major railroad projects; it refers to the prevention and control measures of historical safety risk events associated with major railroad projects, and then constructs the knowledge structure and case base around safety risks of major railroad projects and the circumstances of the case. In determining the comprehensive weights, the G1 method is used to determine the subjective weights, the anti-entropy weight method is used to determine the objective weights and game theory combines the subjective and objective weights. In comparing the array of safety risk prevention and control cases associated with major railway projects, the weighted Euclidean distance is used to calculate the similarity between these cases and the target case, which in turn assists project managers in determining the safety risk prevention and control strategies appropriate for major railway projects. This study takes Landslide No. 1 in the Tunnel A inlet planning area as an example. It utilizes the WED method to assist in selecting safety risk prevention and control strategies for major railway projects, which verifies the method’s feasibility. The proposed method enriches the method of the assisted selection of safety risk prevention and control strategies for major railway projects, makes strategy formulation more scientific, has specific reference significance for the formulation of safety risk prevention and control strategies for major railway projects, and promotes the improvement of safety risk prevention and risk control for participating units.

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Section: Weighted Euclidean Distance (Wed) Methodsmentioning

confidence: 99%

The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

Guo,

Lv,

et al. 2024

Buildings

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“…The DBA is built to perform the choice and rating of software reliability growth models (SofRGM) (Aakash Gupta et al, 2018). This approach mainly considers the distance between the alternatives and optimal points.…”

Section: Distance Based Approximation Methods (Dba) With a Considerat...mentioning

confidence: 99%

“…Therefore, the determination of the optimal point and the ideal solutions are prioritized (Rishi Kumar & Garg, 2010;A Kumar et al, 2019). According to Gupta et al (2018), i i1 i2 ij A = (a , a , ..., a ) is a set of alternatives and op1 op2 opj OP = (a , a , ..., a ) represents a set of optimal points that are the best values of criteria used to rank alternatives in multi-dimensional space (Aakash Gupta et al, 2018). As a result, the objective function F is the minimization of the distance between alternatives and optimal values (Sharma et al, 2010).…”

Section: Distance Based Approximation Methods (Dba) With a Considerat...mentioning

confidence: 99%

“…In particular, its running time is shorter than the running time of TOPSIS and its procedure is very simple (Amit et al, 2014;Aakash Gupta et al, 2018;A Kumar et al, 2019). DBA is derived from the selection and rating of software reliability growth models (SofRGM) (Aakash Gupta et al, 2018). DBA has been applied to make decisions based on many criteria in scientific and engineering problems (Amit et al, 2014;Rakesh Garg et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Advanced multi-criteria decision-making technique to describe the relationship between criteria and select optimal alternatives

LE,

OLÁH,

PAKURÁR

2023

Preprint

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The current study proposes a new approach that is a combination of methods: fuzzy and decision-making trial and evaluation laboratory (DEMATEL) and distance-based approximation (DBA) so that decision-makers can determine the relationship structures between criteria, how the criteria affect each other, and the weight of each criterion. From that, managers can quickly and easily evaluate and select the best alternative. A previous study using DEMATEL and grey relational analysis (GRA) is presented as an example. Data from this previous study are used to present the implementation process and results of the proposed method and simultaneously show the results of the current problem solved by the fuzzy DEMATEL – TOPPSIS (technique for order of preference by similarity to ideal solution) method. The comparison of results between three methods including DEMATEL – GRA, fuzzy DEMATEL – TOPPSIS, and fuzzy DEMATEL – DBA is performed to demonstrate the efficiency of the proposed method. The results show that there is a slight difference in weights between fuzzy DEMATEL and DEMATEL but the error is extremely low. In addition, the correlation of results between methods is very high. Particularly, correlation coefficients between fuzzy DEMATEL and DEMATEL, between fuzzy DEMATEL – TOPPSIS and fuzzy DEMATEL – BDA, and between DEMATEL – GRA and fuzzy DEMATEL – BDA are 0.99, 0.95, and 0.78 respectively. Finally, all three methods suggest alternative 4 as the best option.

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“…Distance based approach (DBA) is implemented for the assessment of cities based on air quality parameters in this study. The available literature on the DBA method reveal that many authors have implemented this method to solve numerous decision-making problems in the field of science and engineering and observed that DBA is highly capable to solve such problems in very effective and efficient way (Sharma et al, 2010;Kumar & Garg, 2010;Gupta et al 2013;Garg et al, 2016;Garg & Jain, 2017;Garg, 2017;Gupta et al 2018).…”

Section: Assessment Of Citiesmentioning

confidence: 99%

Deterministic Decision Support System for the Assessment of Cities Based on Air Quality Indicators

Garg

Raheja

2022

International Journal of Decision Support System Technology

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A deterministic decision support system is developed for the assessment of various Indian cities based on the air quality parameters in this research. The present study shapes the assessment of cities as a multi-criteria decision making (MCDM) problem due to the involvement of many indicators. To solve the present assessment problem, an MCDM method, namely, Distance based approach (DBA) that mainly works on the Euclidean distance calculation for each city from the optimal point and ranks the cities on the basis of their calculated distances. The city scoring minimum distance value is ranked at top position and the city with the maximum distance value on the last position.

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Implementing weighted entropy-distance based approach for the selection of software reliability growth models

Cited by 14 publications

References 0 publications

The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects

Advanced multi-criteria decision-making technique to describe the relationship between criteria and select optimal alternatives

Deterministic Decision Support System for the Assessment of Cities Based on Air Quality Indicators

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