The cycle time of a wafer lot refers to the time that the wafer lot has experienced from its input to output. Predicting the cycle time of each wafer lot is a crucial task for a wafer fabrication factory (wafer fab), but existing prediction methods cannot achieve 100% accuracy. Therefore, if the...

This study proposes an integrated Decision Support System (DSS) with Multi-Criteria Decision-Making (MCDM) to evaluate trainers in organizations and choose the most suitable one(s) for a training program. The clustering stage determines the most appropriate number of trainees to be assigned to a...

This study proposes a novel entropy function for the intuitionistic fuzzy sets to improve the existing fuzzy entropy measure. We introduce an attitude-based entropy measure by methodically calculating the experts' attitude values through variance approach. We discuss several important properties...

Assessment of alternative banking systems is a difficult problem with multiple and conflicting criteria. This study proposes a multi-criteria decision-making (MCDM) model for evaluating alternative social banking systems (with no interest charges) using a T-Spherical fuzzy Decision-Making Trial...

Experts often have unequal authority levels in organizations. However, this has rarely been considered reasonably in solving problems in the manufacturing system. In addition, a fuzzy collaborative estimation method can be more flexible and effective if experts have unequal authority levels. We...

Spam emails are unwanted and unsolicited messages. The major problems in email spam detection methods are low detection rates and a high likelihood of false alarms. This study proposes a hybrid correlation-based deep learning model for email spam classification using a fuzzy inference system....

The knowledge measure of fuzzy sets (FSs) has drawn greater attention and is still unresolved since it is the complementary idea to fuzzy entropy. The amount of knowledge is important in evaluating fuzzy information. This study proposes an exponential entropy-based knowledge measure for fuzzy...

The world population is vulnerable to emerging and possibly re-emerging infectious diseases. Climate change, globalization, increased travelling, and urbanization are dynamic factors behind disease emergence and reemergence. This study formulates and analyzes a model with five inputs, viz....

The mining industry continues to play a significant role in developing the economy in developing countries. The need for minerals influences the magnitude of the mining industry, and safety concerns have taken on considerable importance in this sector. Equipment failure and breakdown will...

The Intuitionistic Fuzzy Set (IFS) is a powerful extension of Fuzzy Set (FS) used to handle vagueness and uncertainty. The correlation coefficient is an established tool for finding the strength of relationships between two IFSs. This study proposes a new approach for finding a correlation...