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Multi-criterial method. Analytic hierarchy processThe analytic hierarchy process (AHP) is a structured technique for organizing and analyzing complex

Prioritization of key areas of the digitalization strategy of energy complex enterprises based on the Analytical Hierarchy Process (AHP) factor in improving the efficiency and competitiveness of businesses. Using the Analytical Hierarchy

Cultural heritage assessment and vulnerability using Analytic Hierarchy Process and Geographic Information Systems (Valea Oii catchment, North-eastern Romania). An approach to historical maps maps over a time span of 118 years (1894–2012) and integrated into GIS. Analytic Hierarchy Process (AHP

Using multi-criteria decision analysis to select waste to energy technology for a Mega city: The case of Moscow waste. In this study, various Waste to Energy (WTE) options were evaluated using analytical hierarchy

Cultural heritage assessment and vulnerability using Analytic Hierarchy Process and Geographic Information Systems (Valea Oii catchment, North-eastern Romania). An approach to historical maps maps over a time span of 118 years (1894–2012) and integrated into GIS. Analytic Hierarchy Process (AHP

Landfills: Problems, solutions and decision-making of waste disposal in Harare (Zimbabwe) criterion was identified and weighted using Analytic Hierarchy Process. A final map was generated which

How can hotels create sustainable competitive advantages? A resource-based view, and how hotels can acquire and manage resources in a strategic way. Analytic Hierarchy Process (AHP

Development of IoT module with AI function using STM32 chipT module with STM32 chip as main controller. This module uses fuzzy analytic hierarchy process (fuzzy-AHP

Matrix of pairwise comparison: Decision making with the analytic network process of the eigenvector on environmental planning and management. The Analytic Hierarchy Process (AHP) is a method

Using Multi-Criteria Decision Analysis to Select Waste to Energy Technology for a Mega City: The Case of Moscow waste. In this study, various Waste to Energy (WTE) options were evaluated using analytical hierarchy

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