عنوان المقالة:علم البيانات الغامض النيوتروسوفيكي ومعالجة الفجوات البحثية في البيانات الجغرافية ونظم المعلومات Neutrosophic Fuzzy Data Science and Addressing Research Gaps in Geographic Data and Information Systems
أ.د. أحمد سلامة | Prof. Ahmed Salama | 8999
Publication Type
ScientificArticle
Arabic Authors
أحمد سلامة و أخرون
English Authors
Salama A.A.; Bhatnagar, Roheet; Alharthi N.S..; Tolba R.E..;Shams, Mahmoud Y
Abstract
This paper explores the topic of data, information, and geographical knowledge in a neutrosophic environment, where certainty and doubt coexist. Neutrosophy is a modern tool that can handle different types of uncertainty, such as doubt, ambiguity, ignorance, neutrality, and saturation. We present the latest trends and research gaps in the field of information systems and geographic data from a neutrosophic perspective. We also introduce new concepts of topological data and information and apply some neutrosophic topological concepts to GIS. We show some neutrosophic spatial relationships that can capture the complexity and vagueness of real-world phenomena. Finally, we summarize the main findings and contributions of this paper for the advancement of neutrosophic GIS. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Publication Date
10/1/2023
Publisher
Lecture Notes on Data Engineering and Communications Technologies
Volume No
187
Issue No
ISSN/ISBN
23674512
DOI
10.1007/978-3-031-46573-4_12
Pages
128 - 139
External Link
https://www.scopus.com/record/display.uri?eid=2-s2.0-85175171678&origin=resultslist
Keywords
Artificial Intelligence; geographical Information System; neutrosophic
رجوع