MCDMM SERIES-2_APPLICATION OF AHP and TOPSIS скачать в хорошем качестве

MCDMM SERIES-2_APPLICATION OF AHP and TOPSIS

The Analytical Hierarch Process (AHP) is the most popular MCDM model to solve complex problems. Having simple theory, basic calculation process, allowing sensitivity analysis, flexibility, both qualitative and quantitative methods are some beneficial aspects of AHP . Although best known and objective MCDM method, AHP is generally criticized for judgment inconsistency, accuracy and weak prioritization methods . TOPSIS method is used for finding ideal solutions in these problems . In order to solve the drawbacks and critics of the AHP, TOPSIS method is combined with AHP to produce the best solutions to difficult and complex MCDM problems such as performance analyzing , spaceflight planning , cotton quality determination etc. Products ranking in manufacturing industry can be automated by applying such MCDMM technique. Hope this application gets replicated in enhancing production capabilities. Kindly subscribe to advance knowledge on AI-ML