Classification by Nearest Neighbor and Multilayer Perceptron a New Approach Based on Fuzzy Similarity Quality Measure: A Case Study

2017 ◽  
pp. 388-397
Author(s):  
Dianne Arias ◽  
Yaima Filiberto ◽  
Rafael Bello ◽  
Ileana Cadena ◽  
Wilfredo Martinez
Keyword(s):  
Multilayer Perceptron ◽  
Nearest Neighbor ◽  
Quality Measure ◽  
New Approach ◽  
Fuzzy Similarity

Prediction by k-NN and MLP a New Approach Based on Fuzzy Similarity Quality Measure. A Case Study

2019 ◽  
pp. 337-347
Author(s):  
Yaima Filiberto ◽  
Rafael Bello ◽  
Wilfredo Martinez ◽  
Dianne Arias ◽  
Ileana Cadenas ◽  
...  
Keyword(s):  
Quality Measure ◽  
New Approach ◽  
Fuzzy Similarity

Benefit Corporations Approach to Environmental, Social and Governance Disclosure: A Focus on Italy

2020 ◽  
Vol 10 (4) ◽  
Author(s):  
Mauro Sciarelli ◽  
Silvia Cosimato ◽  
Giovanni Landi
Keyword(s):  
Qualitative Method ◽  
Positive Impact ◽  
Corporate Structure ◽  
New Approach ◽  
For Profit ◽  
Benefit Corporation ◽  
Benefit Corporations ◽  
Multiple Case ◽  
Governance Disclosure

AbstractOver the last decades, Benefit Corporations arouse as a new corporate structure, alternative to traditional ones and pointing to offer a new approach to the management of business and sustainability issues. These companies' activities are statutory aimed at bridging for-profit and no-profit activities; thus, they intentionally and statutory pursue economic purposes together with social and environmental ones, to create a positive impact on economy, society and environment. Even though, Italian and other national laws set some specific disclosure duties for Benefit Corporations, especially in terms of Environmental, Social and Governance (ESG) issues, the literature still calls for further research on the topic. Therefore, this paper is aimed at contributing to bridge this gap, investigating the way Italian Benefit Corporations approach ESG disclosure. To this end, an exploratory analysis has been conducted, implementing a qualitative method, based on a multiple case study strategy. Even though the descriptive nature of the study, the achieved findings pointed out that the Benefit Corporation structure not necessarily implies a better approach to ESG.

scholarly journals Assessing the Relation between Mud Components and Rheology for Loss Circulation Prevention Using Polymeric Gels: A Machine Learning Approach

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1377
Author(s):  
Musaab I. Magzoub ◽  
Raj Kiran ◽  
Saeed Salehi ◽  
Ibnelwaleed A. Hussein ◽  
Mustafa S. Nasser
Keyword(s):  
Machine Learning ◽  
Rheological Properties ◽  
Nearest Neighbor ◽  
Drilling Fluid ◽  
Gradient Boosting ◽  
K Nearest Neighbor ◽  
Wide Range ◽  
Machine Learning Approach ◽  
Drilling Operations

The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce customized rheological properties. In this study, machine learning (ML) is used to develop a framework to identify material composition for loss circulation applications based on the desired rheological characteristics. The relation between the rheological properties and the mud components for polyacrylamide/polyethyleneimine (PAM/PEI)-based mud is assessed experimentally. Four different ML algorithms were implemented to model the rheological data for various mud components at different concentrations and testing conditions. These four algorithms include (a) k-Nearest Neighbor, (b) Random Forest, (c) Gradient Boosting, and (d) AdaBoosting. The Gradient Boosting model showed the highest accuracy (91 and 74% for plastic and apparent viscosity, respectively), which can be further used for hydraulic calculations. Overall, the experimental study presented in this paper, together with the proposed ML-based framework, adds valuable information to the design of PAM/PEI-based mud. The ML models allowed a wide range of rheology assessments for various drilling fluid formulations with a mean accuracy of up to 91%. The case study has shown that with the appropriate combination of materials, reasonable rheological properties could be achieved to prevent loss circulation by managing the equivalent circulating density (ECD).

Safety and quality measure audit in an organisation – A case study

2021 ◽  
Author(s):  
P. Nagaveni ◽  
A. Amudha ◽  
M. Siva Ramkumar ◽  
G. Emayavaramban ◽  
S. Divyapriya ◽  
...  
Keyword(s):  
Quality Measure

GLOSSING THE GLOSS: READING PETER LOMBARD’SCOLLECTANEAON THE PAULINE EPISTLES AS A HISTORICAL ACT

Traditio ◽  
2018 ◽  
Vol 73 ◽  
pp. 83-116
Author(s):  
PETER O'HAGAN
Keyword(s):  
Early Modern ◽  
Biblical Text ◽  
Classroom Activity ◽  
New Approach ◽  
Central Focus ◽  
Recent Scholarship ◽  
Pauline Epistles ◽  
History Of ◽  
Extended Analysis

Peter Lombard's influential commentary on the Pauline Epistles, theCollectanea in omnes divi Pauli epistolas,has received little extended analysis in scholarly literature, despite its recognized importance both in its own right and as key for the development of hisSentences.This article presents a new approach to studying theCollectaneaby analyzing how Lombard's commentary builds on theGlossa “Ordinaria”on the Pauline Epistles. The article argues for treating theCollectaneaas a “historical act,” focusing on how Lombard engages with the biblical text and with authoritative sources within which he encounters the same biblical text embedded. The article further argues for the necessity of turning to the manuscripts of both theCollectaneaand theGlossa,rather than continuing to rely on inadequate early modern printed editions or thePatrologia Latina.The article then uses Lombard's discussion of faith at Romans 1:17 as a case study, demonstrating the way in which Lombard begins from theGlossa,clarifies its ambiguities, and moves his analysis forward through his use of otherauctoritatesand theologicalquaestiones.A comparison with Lombard's treatment of faith in theSentenceshighlights the close links between Lombard's biblical lectures and this later work. The article concludes by arguing that scholastic biblical exegesis and theology should be treated as primarily a classroom activity, with the glossed Bible as the central focus. Discussion of Lombard's work should draw on much recent scholarship that has begun to uncover the layers of orality within the textual history of scholastic works.

scholarly journals Fuzzy Covering-Based Three-Way Clustering

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Dandan Yang
Keyword(s):  
Nearest Neighbor ◽  
Structural Information ◽  
Boundary Region ◽  
Global Perspective ◽  
Semantic Interpretation ◽  
Entropy Theory ◽  
Fuzzy Similarity ◽  
Fuzzy Similarity Relation ◽  
The Universe ◽  
Better Than

This paper investigates the three-way clustering involving fuzzy covering, thresholds acquisition, and boundary region processing. First of all, a valid fuzzy covering of the universe is constructed on the basis of an appropriate fuzzy similarity relation, which helps capture the structural information and the internal connections of the dataset from the global perspective. Due to the advantages of valid fuzzy covering, we explore the valid fuzzy covering instead of the raw dataset for RFCM algorithm-based three-way clustering. Subsequently, from the perspective of semantic interpretation of balancing the uncertainty changes in fuzzy sets, a method of partition thresholds acquisition combining linear and nonlinear fuzzy entropy theory is proposed. Furthermore, boundary regions in three-way clustering correspond to the abstaining decisions and generate uncertain rules. In order to improve the classification accuracy, the k-nearest neighbor (kNN) algorithm is utilized to reduce the objects in the boundary regions. The experimental results show that the performance of the proposed three-way clustering based on fuzzy covering and kNN-FRFCM algorithm is better than the compared algorithms in most cases.

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