Results 291 to 300 of about 172,977 (352)
Fueling Tomorrow: Scenario Planning for the Future of Gas Stations
Business Strategy and the Environment, EarlyView.ABSTRACT Transport electrification is reshaping the service infrastructures that mediate everyday mobility, yet most electrification scenario studies remain macrolevel and offer limited insight into how incumbent forecourt (gas‐station) networks can adapt under deep uncertainty.
Joao Gabriel Rosa +2 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K. +5 more
wiley +1 more source
Beyond Structural Interventions: The Human Architecture Shaping ESG Integration in Corporate Systems
Business Strategy and the Environment, EarlyView.ABSTRACT Despite the promotion of ESG in corporate discourse, substantive integration of ESG principles into business practices remains challenging. This study applies and extends Meadows' leverage framework to examine ESG integration in UAE‐listed firms.
M. Schulte, Dimitris Christopoulos
wiley +1 more source
Too Complex to Control? How Firms Navigate Scope 3 Governance Under Institutional Uncertainty
Business Strategy and the Environment, EarlyView.ABSTRACT As Scope 3 emissions make up the largest share of many firms' carbon footprints, firms face growing pressure to manage emissions beyond their direct control. Ongoing revisions of the CSRD, the GHG Protocol, and the SBTi Net‐Zero Standard further increase regulatory and methodological uncertainty.
Victoria Fohrer +2 more
wiley +1 more source
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Quality and Reliability Engineering International, 2010
AbstractGrouping unknown data into groups of similar data is a necessary first step for classification, indexing of databases, and prediction. Most of the current applications, such as news classification, blog indexing, image classification, and medical diagnosis, obtain their data in temporal sequence or online.
Petra Perner, Anja Attig
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AbstractGrouping unknown data into groups of similar data is a necessary first step for classification, indexing of databases, and prediction. Most of the current applications, such as news classification, blog indexing, image classification, and medical diagnosis, obtain their data in temporal sequence or online.
Petra Perner, Anja Attig
openaire +1 more source
Fuzzy clustering: Determining the number of clusters
2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN), 2012In this study we analyze behavior of two types of coefficients for determining the suitable number of clusters obtained when fuzzy cluster analysis is applied. First one is Dunn's coefficient which contains membership degrees in its computational formula; second one is the average silhouette width, used primarily for evaluating hard clustering.
Hana Rezanková, Dusan Húsek
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Information Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Peng 0001 +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Peng 0001 +4 more
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Pattern Recognition Letters, 1995
Abstract The proposed clustering algorithm is aimed at revealing the structure within the patterns under a simultaneous satisfaction of directionality constraints. These constraints are utilized to cope with functional relationships between the specified features of the patterns.
Kaoru Hirota, Witold Pedrycz
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Abstract The proposed clustering algorithm is aimed at revealing the structure within the patterns under a simultaneous satisfaction of directionality constraints. These constraints are utilized to cope with functional relationships between the specified features of the patterns.
Kaoru Hirota, Witold Pedrycz
openaire +1 more source
Gravitational Fuzzy Clustering
2008Data clustering is an important part of cluster analysis. Numerous clustering algorithms based on various theories have been developed, and new algorithms continue to appear in the literature. In this paper, supposing that each cluster center is a gravity center and each data point has a constant mass, Newton's law of gravity is transformed from m/d2to
Orhan U., Hekim M., Ibrikci T.
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