Blood supply chain configuration and optimization under the COVID-19 using benders decomposition based heuristic algorithm

O Abdolazimi, MS Pishvaee, M Shafiee… - … Journal of Production …, 2023 - Taylor & Francis
During COVID-19, blood demand exceeded pre-pandemic levels due to reduced donations,
causing shortages. Given the severe shortage, it's crucial to optimise blood use, prevent …

[图书][B] Expanding one-dimensional game theory-based group decision models: Extension to n-dimension and integration of distributed position function

MM Karimi - 2023 - search.proquest.com
This dissertation aims to expand the current one-dimensional game theory based model to a
multidimensional model for multi-actor predictive analytics and generalize the concept of …

Expanding one-dimensional game theory-based group decision models: Extension to n-dimension and integration of distributed position function

M Mousavi Karimi - 2023 - scholarsjunction.msstate.edu
This dissertation aims to expand the current one-dimensional game theory based model to a
multidimensional model for multi-actor predictive analytics and generalize the concept of …

Understanding explainable artificial intelligence techniques: a comparative analysis for practical application

S Bhatnagar, R Agrawal - Bulletin of Electrical Engineering and Informatics, 2024 - beei.org
Explainable artificial intelligence (XAI) uses artificial intelligence (AI) tools and techniques to
build interpretability in black-box algorithms. XAI methods are classified based on their …

Game Theory Based Model for Predictive Analytics Using Distributed Position Function

MM Karimi, S Rahimi - International Journal of …, 2024 - classical.goforpromo.com
This paper presents a game theory-based method for predicting the outcomes of negotiation
and group decision-making problems. We propose an extension to the BDM model to …

A Novel Survey on Image Classification Models for Explainable Predictions using Computer Vision

LV Koushik, AV Reddy, KS Rithvik… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
In the field of image classification, while algorithms perform well at recognizing objects,
understanding their decision-making processes remains challenging and limiting the …