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This tenth volume of Collected Papers includes 86 papers in English and Spanish languages comprising 972 pages, written between 2014-2022 by the author alone or in collaboration with the following 105 co-authors (alphabetically ordered) from 26 countries: Abu Sufian, Ali Hassan, Ali Safaa Sadiq, Anirudha Ghosh, Assia Bakali, Atiqe Ur Rahman, Laura Bogdan, Willem K.M. Brauers, Erick González Caballero, Fausto Cavallaro, Gavrilă Calefariu, T. Chalapathi, Victor Christianto, Mihaela Colhon, Sergiu Boris Cononovici, Mamoni Dhar, Irfan Deli, Rebeca Escobar-Jara, Alexandru Gal, N. Gandotra, Sudipta Gayen, Vassilis C. Gerogiannis, Noel Batista Hernández, Hongnian Yu, Hongbo Wang, Mihaiela Ilies...
Public employees often provide their services under contract for occasional services. This form of employment relationship may undergo the consequences of job instability. Classifying occasional job profiles allows us recommending new jobs for those who suffer from job instability. This research proposes a solution to the posed problem by using a Neutrosophic method to determine job profiles of people for the occasional service contract recommendation in the public sector. Ordered Weighted Averaging Distance (OWAD) operator is proposed for aggregation of similarities measures.
Looks at the process and outputs of the Localising Agenda 21 programme in Nakuru (Kenya), Essaouira (Morocco), Vinh (Vietnam) and Bayamo (Cuba). Reflects on the relationship between sustainable visions for possible futures and strategic urban projects.
"Neutrosophic Computing and Machine Learning" (NCML) es una revista académica que ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosóficos para el aprendizaje automático, etc. y sus aplicaciones en cualquier campo.
"Neutrosophic Computing and Machine Learning" (NCML) has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field. "Neutrosophic Computing and Machine Learning" (NCML) ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosó-ficos para el aprendizaje automático, etc. y sus aplicaciones en cual-quier campo. Contributors to current issue (listed in papers' order): Florentín Smarandache, Omar Mar Cornelio, Iván Santana Ching, Jorge Gulín Gonzales, Ricardo González Labrada, Raúl Más Rodés, Jorge Luis Reyes López, Redel Caballero Áreas, Noriel Reynaldo Rodríguez, Jorge Luis Reyes López, Ricardo González Labrada, Yuri Elizabeth Gutiérrez Córdova.
Describes systems of government and their organization, opposition parties, and history for each of the world's nations.
“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.
In this chapter, the goal programming in neutrosophic environment is introduced. The degree of acceptance, indeterminacy and rejection of objectives is considered simultaneous.