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. Dr. Ahmed Salama | 10457

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نوع النشر

مقال علمي

المؤلفون بالعربي

أحمد سلامة و أخرون

المؤلفون بالإنجليزي

Salama A.A.; Bhatnagar, Roheet; Alharthi N.S..; Tolba R.E..;Shams, Mahmoud Y

الملخص الانجليزي

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.

تاريخ النشر

01/10/2023

الناشر

Lecture Notes on Data Engineering and Communications Technologies

رقم المجلد

187

رقم العدد

ISSN/ISBN

23674512

رابط DOI

10.1007/978-3-031-46573-4_12

الصفحات

128 - 139

رابط خارجي

https://www.scopus.com/record/display.uri?eid=2-s2.0-85175171678&origin=resultslist

الكلمات المفتاحية

Artificial Intelligence; geographical Information System; neutrosophic