Figure - uploaded by Yenugula Rashmitha
Content may be subject to copyright.
Data representation a land use b land cost c population d major roads e grid points f petrol bunks g schools h shopping malls i restaurants j hospitals k theatres l bus stops
Source publication
In urban India air pollution is a critical environmental issue with the transportation sector being a major contributor. Transitioning to electric vehicles is one essential policy decision that can reduce emissions, thus, necessitating a robust network of public charging stations. This study proposes a facility-based Multi-Criteria Decision-Making...
Contexts in source publication
Context 1
... The proposed study utilized MCDM methods to develop a charging network model that maximizes the overall network's coverage area and ensures broad coverage and accessibility for EV users throughout the city. The data extraction and processing for further analysis are outlined as follows, with the corresponding data representation illustrated in Fig. ...Context 2
... The proposed study utilized MCDM methods to develop a charging network model that maximizes the overall network's coverage area and ensures broad coverage and accessibility for EV users throughout the city. The data extraction and processing for further analysis are outlined as follows, with the corresponding data representation illustrated in Fig. ...Similar publications
Excellent Lecturers are human resources (HR) that are very necessary in the world of education so that they can educate students to become superior human resources. Apart from that, all universities in Indonesia play an active role in improving the quality of education. One important factor that determines the quality of education in higher educati...
Ungauged river basins are among the most threatened water resources in this era of climate change and increasing population growth due to a lack of infrastructure for data collection and analysis for better management decisions. This paper explores the use of drainage morphometry and the Analytical Hierarchy Process (AHP) of the Multi-Criteria Deci...
![Student ranking with rX,IR+2\documentclass[12pt]{minimal}...](publication/387526855/figure/fig3/AS:11431281300581094@1735614181565/Student-ranking-with-rX-IR-2documentclass12ptminimal-usepackageamsmath_Q320.jpg)
A basic problem in multi-criteria decision-making (MCDM) is to find a ranking for alternatives which are not directly comparable with each other. A number of different methods exists. In this paper, a new ranking method is proposed by turning a statistical function into an MCDM ranking function. In particular, cone distribution functions from multi...
Considering the high energy and material consumption, the environmental impact of additive manufacturing through FDM has faced significant criticism. For a more sustainable production process, industries require efficient optimization of the FDM process to lower environmental impact while retaining process efficiency. This study utilizes advanced m...
This paper presents REDUCE, a free online tool designed to support decision-making processes by addressing inconsistency in multiplicative pairwise comparison (PC) matrices, a key element of many multi-criteria decision-making (MCDM) methods, including the analytic hierarchy process (AHP). AHP relies on pairwise comparisons to assign weights to dec...
