Скачать с ютуб ISAHP2024 Workshop 1: Mastering AHP Models in Python: Setup, Calculation, and Sensitivity Analysis.. в хорошем качестве

ISAHP2024 Workshop 1: Mastering AHP Models in Python: Setup, Calculation, and Sensitivity Analysis..

Mastering AHP Models in Python: Setup, Calculation, and Sensitivity Analysis with AhpAnpLib Lirong Wei This workshop will guide participants through setting up the Python AhpAnpLib library in Google Colab. Participants will learn how to structure AHP models using Excel and repurpose SuperDecisions models by importing them into Python. The session emphasizes environment setup and the creation of AHP models using the Python library. Requirements: Software: No software installation required; Google Colab will be used. Previous Knowledge: A basic understanding of AHP models is required. No prior Python knowledge is needed for this workshop. SHORT BIO Lirong Wei is a senior data analyst, BI developer, and researcher with a PhD in Management Science and Engineering from the University of Science and Technology Beijing, and a master's degree in Statistics from the University of Pittsburgh. Lirong has served as a visiting scholar at the Katz Business School at the University of Pittsburgh, where they collaborated with Dr. Thomas Saaty, co-authoring the book "Complete Structural Functions and Connections of the Nervous System." Lirong works on interdisciplinary research projects in big data, AI, and decision-making models, and collaborates with the Creative Decisions Foundation (CDF) to promote AHP methodologies globally.