Asymptotic Normality for Plug-In Estimators of Generalized Shannon’s Entropy [PDF]
Entropy, 2022 Shannon’s entropy is one of the building blocks of information theory and an essential aspect of Machine Learning (ML) methods (e.g., Random Forests).
Jialin Zhang, Jingyi Shi
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Entropy, 2019 We propose a framework to convert the protein intrinsic disorder content to structural entropy (H) using Shannon’s information theory (IT). The structural capacity (C), which is the sum of H and structural information (I), is equal to the amino acid ...
Hao-Bo Guo +5 more
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Entropy, Shannon’s Measure of Information and Boltzmann’s H-Theorem
Entropy, 2017 We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynamic Entropy. The first is defined on any probability distribution; and therefore it is a very general concept.
Arieh Ben-Naim
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Ranking DMUs by Combining Cross-Efficiency Scores Based on Shannon’s Entropy [PDF]
Entropy, 2019 Cross-efficiency evaluation is an effective approach for ranking decision-making units (DMUs), and there exist different perspectives from different cross-efficiency evaluation models.
Yueh-Chiang Lee
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Imprecise Shannon’s Entropy and Multi Attribute Decision Making
Entropy, 2010 Finding the appropriate weight for each criterion is one of the main points in Multi Attribute Decision Making (MADM) problems. Shannon’s entropy method is one of the various methods for finding weights discussed in the literature.
Reza Fallahnejad +1 more
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Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section [PDF]
Journal of Industrial Engineering and Management, 2012 Purpose: The aim of this study is applying a new method for Industrial robotic system selection.Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy.
Ahmad Jafarnejad Chaghooshi +2 more
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On Nonlinear Complexity and Shannon’s Entropy of Finite Length Random Sequences
Entropy, 2015 Pseudorandom binary sequences have important uses in many fields, such as spread spectrum communications, statistical sampling and cryptography. There are two kinds of method in evaluating the properties of sequences, one is based on the probability ...
Lingfeng Liu, Suoxia Miao, Bocheng Liu
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Evaluating investment potential tourism centers using integrated model of fuzzy Shannon’s entropy and fuzzy ARAS method [PDF]
Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, 2019 Prioritizing tourism poles can be a benchmark for centralizing as well as determining tourist attractions and moderating inequality between regions and is a step in formulating a tourism development plan.
Seyed Morteza Hatefi +2 more
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Determining Common Weights in Data Envelopment Analysis with Shannon’s Entropy
Entropy, 2014 Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the efficiency of Decision Making Units (DMUs) with multiple inputs and outputs.
Xiao-Guang Qi, Bo Guo
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New Estimates of the Kullback-Leibler Distance and Applications [PDF]
, 2000 New estimates of the Kullback-Leibler distance and applications for Shannon’s entropy and mutual information are ...
Dragomir, Sever S, Gluscevic, Vido
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