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Modeling paradigms for medical diagnostic decision support: a survey and future directions
KB Wagholikar, V Sundararajan… - Journal of medical …, 2012 - Springer
Use of computer based decision tools to aid clinical decision making, has been a primary
goal of research in biomedical informatics. Research in the last five decades has led to the …
goal of research in biomedical informatics. Research in the last five decades has led to the …
Recent advances in intuitionistic fuzzy information aggregation
Aggregation of intuitionistic fuzzy information is a new branch of intuitionistic fuzzy set
theory, which has attracted significant interest from researchers in recent years. In this paper …
theory, which has attracted significant interest from researchers in recent years. In this paper …
New intuitionistic fuzzy parametric divergence measures and score function-based CoCoSo method for decision-making problems
DK Tripathi, SK Nigam, P Rani… - … Making: Applications in …, 2023 - dmame-journal.org
The present study introduces a decision-making approach with the combined compromise
solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method …
solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as the IF-CoCoSo method …
Some cosine similarity measures and distance measures between q‐rung orthopair fuzzy sets
D Liu, X Chen, D Peng - International Journal of Intelligent …, 2019 - Wiley Online Library
In this paper, we consider some cosine similarity measures and distance measures between
q‐rung orthopair fuzzy sets (q‐ROFSs). First, we define a cosine similarity measure and a …
q‐rung orthopair fuzzy sets (q‐ROFSs). First, we define a cosine similarity measure and a …
A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images
T Chaira - Applied soft computing, 2011 - Elsevier
This paper presents a novel intuitionistic fuzzy C means clustering method using
intuitionistic fuzzy set theory. The intuitionistic fuzzy set theory considers another uncertainty …
intuitionistic fuzzy set theory. The intuitionistic fuzzy set theory considers another uncertainty …
Picture fuzzy aggregation information based on Einstein operations and their application in decision making
The information aggregation operator plays a key rule in the group decision making
problems. The aim of this paper is to investigate the information aggregation operators …
problems. The aim of this paper is to investigate the information aggregation operators …
Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease
Expert's knowledge base systems are not effective as a decision-making aid for physicians
in providing accurate diagnosis and treatment of heart diseases due to vagueness in …
in providing accurate diagnosis and treatment of heart diseases due to vagueness in …
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view
A detailed analysis of the distance and similarity measures for intuitionistic fuzzy sets
proposed in the past is presented in this paper. This study aims to highlight the main …
proposed in the past is presented in this paper. This study aims to highlight the main …
HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis
NT Thong - Expert Systems with Applications, 2015 - Elsevier
The health care support system is a special type of recommender systems that play an
important role in medical sciences nowadays. This kind of systems often provides the …
important role in medical sciences nowadays. This kind of systems often provides the …
Intuitionistic fuzzy cognitive maps for medical decision making
Medical decision making can be regarded as a process, combining both analytical cognition
and intuition. It involves reasoning within complex causal models of multiple concepts …
and intuition. It involves reasoning within complex causal models of multiple concepts …