Use of maximum entropy method as a methodology for probabilistic reasoning

Rhodes, Paul C.; Garside, Gerald R.

doi:10.1016/0950-7051(95)98902-i

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The function which quantitatively measures an uncertainty of a system is called Entropy of system, and it is defined with the following Equation (5) [ 22 , 26 ]:

…”

Section: Methodsmentioning

confidence: 99%

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Entropy-Based Approach in Selection Exact String-Matching Algorithms

Markić

Štula

Zoric

et al. 2020

Entropy

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The string-matching paradigm is applied in every computer science and science branch in general. The existence of a plethora of string-matching algorithms makes it hard to choose the best one for any particular case. Expressing, measuring, and testing algorithm efficiency is a challenging task with many potential pitfalls. Algorithm efficiency can be measured based on the usage of different resources. In software engineering, algorithmic productivity is a property of an algorithm execution identified with the computational resources the algorithm consumes. Resource usage in algorithm execution could be determined, and for maximum efficiency, the goal is to minimize resource usage. Guided by the fact that standard measures of algorithm efficiency, such as execution time, directly depend on the number of executed actions. Without touching the problematics of computer power consumption or memory, which also depends on the algorithm type and the techniques used in algorithm development, we have developed a methodology which enables the researchers to choose an efficient algorithm for a specific domain. String searching algorithms efficiency is usually observed independently from the domain texts being searched. This research paper aims to present the idea that algorithm efficiency depends on the properties of searched string and properties of the texts being searched, accompanied by the theoretical analysis of the proposed approach. In the proposed methodology, algorithm efficiency is expressed through character comparison count metrics. The character comparison count metrics is a formal quantitative measure independent of algorithm implementation subtleties and computer platform differences. The model is developed for a particular problem domain by using appropriate domain data (patterns and texts) and provides for a specific domain the ranking of algorithms according to the patterns’ entropy. The proposed approach is limited to on-line exact string-matching problems based on information entropy for a search pattern. Meticulous empirical testing depicts the methodology implementation and purports soundness of the methodology.

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“…The function which quantitatively measures an uncertainty of a system is called Entropy of system, and it is defined with the following Equation (5) [ 22 , 26 ]:

…”

Section: Methodsmentioning

confidence: 99%

“…In that case, there is no uncertainty since it is possible to predict the system’s state precisely. In any other case, entropy is a positive number [ 22 , 26 ].…”

Section: Methodsmentioning

confidence: 99%

Entropy-Based Approach in Selection Exact String-Matching Algorithms

Markić

Štula

Zoric

et al. 2020

Entropy

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“…• less time consuming. This methodology has been successfully used by various researchers for optimization of microscale manufacturing process (Beruvides et al, 2016), product evaluation (Dashore et al, 2013), cell phone evaluation (Akyene, 2012), probabilistic reasoning (Rhodes and Garside, 1995), supplier selection (Shemshadi et al, 2011), order allocation (Ghorbani et al, 2012) and for risk assessment to hydropower station ( Ji et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Many researchers used various different methods for normalizing the matrix. Various methods, like Weitendorf ratio method, total ratio method, stop ratio method, Schärlig ratio method, Körth ratio method, Jüttler ratio method, etc., are used by various researchers for normalizing the matrix (Rhodes and Garside, 1995). For this research work, total ration method is preferred due to its simplicity and ease of calculation.…”

Section: Normalization Of a Matrixmentioning

confidence: 99%

An integrated approach for implementation of agile manufacturing system in an Indian manufacturing industry

Sindhwani

Malhotra

2018

BIJ

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Purpose The advent of globalization not only made the manufacturing sector highly competitive but also facilitated best-quality products. The trend is further augmented by e-Commerce which increases the penetration to the targeted customer with the easy availability of customized product. In this backdrop, Indian manufacturing industries are striving hard to seek out best systems which will yield maximum profitability. Time is ripe to realize the true potential of agile manufacturing system (AMS). Infusion of AMS in manufacturing industry will bring forth the elusive mix of customer needs and products at lowest possible cost. But adoption and implementation of AMS is a challenging task in itself. There are certain facilitators and criteria which not only facilitate the system but also help in the effective and smooth implementation of this system. The purpose of this paper is to identify the criteria to weightage and ranking to AMS facilitators. This study was carried out by different approaches, namely, entropy approach, multi-objective optimization on the basis of ratio analysis (MOORA) method, Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) analysis and a cross-sectional survey of manufacturing firms in India. Design/methodology/approach The criteria and facilitators are identified followed by the application of entropy approach, MOORA method and VIKOR analysis to study and analyze the criteria weight and provide the ranking to AMS facilitators. Findings The result of the entropy approach concludes that beneficiary and non-beneficiary criteria carry 48.43 and 51.56 percent weight, respectively. MOORA method and VIKOR analysis conclude that organization structure and virtual enterprise facilitators are carrying the first and second rank, respectively. Research limitations/implications This study is completed on the basis of responses from few experts from industry and academicians who may not reflect the attitude of entire industry community. Practical implications This research is expected to facilitate policy makers in government and industries to frame policies for optimum utilization of resources and infrastructure for better performance. This paper helps the researcher to do a case study on the implementation of AMS and then finally helps to society in getting the high-quality product in an easy way. Originality/value Integration of entropy approach, MOORA method and VIKOR analysis with identification of AMS criteria weightage and ranking to AMS facilitators has been recommended for an industry which is an innovative effort for the execution of AMS.

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Bayesian Networks: Theory and Philosophy

Holmes

2022

Learning and Analytics in Intelligent Systems

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Use of maximum entropy method as a methodology for probabilistic reasoning

Cited by 5 publications

References 12 publications

Entropy-Based Approach in Selection Exact String-Matching Algorithms

Entropy-Based Approach in Selection Exact String-Matching Algorithms

An integrated approach for implementation of agile manufacturing system in an Indian manufacturing industry

Bayesian Networks: Theory and Philosophy

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