This study aims to construct an evaluation method based on distances from the average
solution (EDAS) based on circular intuitionistic fuzzy (C-IF) sets to support intelligent …

The Muirhead mean (MM) operator is effective and feasible and is used for aggregating the
finite collection of attributes into a singleton set, where the averaging and geometric …

Due to the Internet's explosive growth, network security is now a major concern; as a result,
tracking network traffic is essential for a variety of uses, including improving system …

Abstract Analysis of disorders in the human body using computational methods had given
greater impact for diagnosis and cure. Vibroarthrographic signals are noninvasive modality …

Purpose Forecasting demand of emergency supplies under major epidemics plays a vital
role in improving rescue efficiency. Few studies have combined intuitionistic fuzzy set with …

Among forecasting model families, the intuitionistic fuzzy-based forecasting model stands
out due to its comprehensive approach to uncertainty, considering possible degrees of …

Humans are directly and indirectly impacted by the frequency and severity of natural
disasters due to climate change Rather than relying solely on event response, proactive …

Agriculture is a vital component of any nation's economy, and India is renowned for being an
agro-based economy. One of the main objectives in agriculture is to cultivate robust crops …

As an extension of fuzzy sets, the interval-valued q-rung orthopair fuzzy sets (IVq-ROFSs) is
a powerful tool for dealing with uncertainty problems. Furthermore, fuzzy entropy is a crucial …

Aim: The aim of this paper is the efficient prediction of sales during festival times in an
electronic showroom using a Deep Belief Network compared to AlexNet with improved …