AIMC Topic: Decision Making

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A new method for ranking q-rung ortho-pair fuzzy numbers and application.

PloS one
The effectiveness of the q-rung ortho-pair fuzzy multi-attribute decision-making method is primarily influenced by the q-rung ortho-pair fuzzy number ranking method. This paper conducts an in-depth analysis of the shortcomings of eight existing q-run...

Rank labels scaffold social cognitive maps in the hippocampal-entorhinal system.

NeuroImage
How do humans construct mental representations of social hierarchies in the absence of direct interpersonal interactions? In many real-world contexts, humans rely on symbolic rank labels-such as titles or performance ratings-to navigate social hierar...

Consensus stability among composite decision makers in the framework of hesitant fuzzy graph model with application to doctor-patient disputes.

Scientific reports
Doctor-patient disputes are inevitable in human beings' social lives. The rapid development of social media makes doctor-patient disputes easier to spiral out of control. One of the ensuing problems is that the size of the parties in conflict has inc...

Hippocampal blood oxygenation predicts choices about everyday consumer experiences: A deep-learning approach.

Proceedings of the National Academy of Sciences of the United States of America
This research investigates the neurophysiological mechanisms of experiential versus monetary choices under risk. While ventral striatum and insula activity are instrumental in predicting monetary choices, we find that hippocampal activity plays a key...

Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study.

Military Medical Research
BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) has significantly advanced prostate cancer (PCa) detection, yet decisions on invasive biopsy with moderate prostate imaging reporting and data system (PI-RADS) scores remain ambiguous.

It is not about autonomy: realigning the ethical debate on substitute judgement and AI preference predictors in healthcare.

Journal of medical ethics
This article challenges two dominant assumptions in the current ethical debate over the use of algorithmic Personalised Patient Preference Predictors (P4) in substitute judgement for incapacitated patients. First, I question the belief that the auton...

Leveraging machine learning predicted confidence for boosting assay submission and decision-making efficiencies.

European journal of medicinal chemistry
Machine learning (ML) has become very popular, and its benefits are widely recognized within the scientific community. The ability of ML approaches to leverage large datasets to find patterns among composite single data points has made these approach...

Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.

eLife
Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information based on context. However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminatin...

Irrational herding persists in human-bot interactions.

Scientific reports
We explore human herding in a strategic setting where humans interact with automated entities (bots) and study the shift in the behaviour and beliefs of humans when they are aware of interacting with bots. The strategic setting is an online minority ...

Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.

Scientific reports
This study introduces a cognition-enhanced framework for geospatial decision-making by integrating Fuzzy Formal Concept Analysis (FCA), the Surprisingly Popular (SP) method, and a Large Language Model (GPT-4o). Our approach captures cognitive influen...