AIMC Topic: Decision Making

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Fermatean fuzzy ELECTRE multi-criteria group decision-making and most suitable biomedical material selection.

Artificial intelligence in medicine
ELECTRE is a family of multi-criteria decision analysis techniques, which has the ability to provide as much as possible precise and suitable set of actions or alternatives to the underlying problem by eliminating the alternatives, which are outranke...

Using deep learning to predict human decisions and using cognitive models to explain deep learning models.

Scientific reports
Deep neural networks (DNNs) models have the potential to provide new insights in the study of cognitive processes, such as human decision making, due to their high capacity and data-driven design. While these models may be able to go beyond theory-dr...

Leveraging artificial intelligence to improve people's planning strategies.

Proceedings of the National Academy of Sciences of the United States of America
SignificanceMany bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a principled computational approach to improving human decision making. The basic idea is to give people...

Contingency response decision of network public opinion emergencies based on intuitionistic fuzzy entropy and preference information of decision makers.

Scientific reports
A multi-attribute group decision-making (MAGDM) method based on intuitionistic fuzzy preference information is proposed for the multi-attribute intuitionistic fuzzy group decision-making problem where the decision-makers weight and attribute weight a...

MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management.

PloS one
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the...

Group decision making under uncertain preferences: powered by AI, empowered by AI.

Annals of the New York Academy of Sciences
Group decision making is an important, long-standing, and ubiquitous problem in all societies, where collective decisions must be made by a group of agents despite individual conflicting preferences. This has been a classical and active topic for res...

Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model.

Scientific reports
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the virus spread. These phases witnessed many challenges and various day-...

Novel Decision-Making Techniques in Tripolar Fuzzy Environment with Application: A Case Study of ERP Systems.

Computational intelligence and neuroscience
The intuitionistic fuzzy set (IFS) and bipolar fuzzy set (BFS) are all effective models to describe ambiguous and incomplete cognitive knowledge with membership, non-membership, negative membership, and hesitancy sections. But in daily life problems,...

Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.

Environmental science and pollution research international
Smart cities development is an ambitious project launched in India in 2015 with around 14 billion USD. Smart city mission program primarily aimed at reducing the carbon footprint and encouraging green and sustainable practices. Under this context, cl...