5/16/2023 0 Comments Ahp decision tree![]() ![]() ![]() Managers of four leading manufacturers providing maintenance services were involved to analyze different offers. sixteen managers from eight hospitals were involved to assess the demand’s needs. Methods: The AHP was applied to support HTA for the need analysis and for the assessment of how each alternative fits each need. As a case study, we focused on the choice of a maintenance contract for a Computerized Tomography scanner. our goal was to quantify qualitative knowledge, which affects HTA, using a scientific method. Objective: In this study, the Analytic Hierarchic Process (AHP) was used to improve Health Technology Assessment (HTA) by: tracking the decision processes allowing stakeholders to understand the work done by decision-makers (DMs) weighting properly the most appropriate DM for each dimension of the problem extending decision processes to DMs not skilled in complex mathematical methods. The proposed model proved accurate and timely decisions while increasing throughput efficiency by 29% and reducing manual labour by 54% compared to the current manual process. While AHP was used to develop a weighting model that follows pair-wise comparison identifying the relative importance of different criteria identified in loan applications, backing up the Decision Tree while improving accuracy rates. Decision trees were used as the foundation for the basic loan approval process. This research highlights application of a hybrid model utilizing Analytical Hierarchy Process (AHP) in combination with decision trees in order to solve the problem. In order to achieve this objective a careful scrutiny of related papers was conducted looking into weight-age models such as Analytical Hierarchy Process, Multi-Attribute Utility Theory, Decision Tress, Logistic Regression and Artificial Neural Networks. Objectives of research conducted was to identify a decision making model for banks to evaluate credit risk in granting loans thereby reducing other risks. However this process is often biased as it involves a degree of personal preference due to the unavailability of suitable decision making models. Credit scoring is a vital activity conducted by financial institutes which involves a discrete decision making process in which the loan is assessed to avoid financial risk. ![]()
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