Titlebook: Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation; Proceedings of the I Cengiz Kahraman,Selcuk Cebi,Irem

焦慮

Fuzzy Cluster Analysis of Claustrophobia Questionnaire Data in Iranian Male and Female Educated Popu Claustrophobia Questionnaire (CLQ) was proposed. The Persian translation of this questionnaire was filled out with 355 people (139 females, 216 males) which were mostly university students. The purpose of this study was to distinguish between claustrophobic and non-claustrophobic participants using

deceive

Data Driven Approach to Order Picking Time Prediction Using Fuzzy Clustering and ANN approaches instead of model-based approaches in the management of processes. As one of the most costly and labor-intensive parts of supply chain processes, warehouse operations are very critical for the effective management of supply chains. Picking time is an important parameter for warehouse prob

bibliophile

A Comparative Analysis of Fuzzy C-Means, K-Means, and K-Medoids Clustering Algorithms for Analysis Cre are a lot of organizations that prepare reports/indexes to reduce the impact of COVID-19 or to analyze the countries current situations for the outbreak. As one of the reports, the INFORM COVID-19 Risk Index is published by the European Commission to support prioritization of early response and p

vanquish

Text Segmentation Using Light Syntax Parsing and Fuzzy Systemsrocesses available for text segmentation by introducing the concept of fuzzy boundaries. our method of segmenting text concerns a population of boundaries to be in a fuzzy state whereby the decision of boundary insertion is determined by a fuzzy system with syntactic information serving as the input

浸軟

落葉劑

Antagonist

Intelligent Customer Segmentation Considering Beer Sales Based on Beer Attributes, Products and Pric Istanbul. A case study is carried out taking into account the beer sales of a beer producer in Istanbul for 2018, 2019, and the first 9?months of 2020. In this regard, k-means clustering process, which involves the hierarchical centroid linkage clustering algorithm, is employed to group predetermin

為現(xiàn)場

爆米花

貪婪性

Fraud Detection Using Fuzzy C Meansices. Fraudulent financial reporting harms investors, business owners, business employees, government, creditor financial institutions, and other businesses that have commercial relations with the business. In order to prevent such damages, enterprises are audited by independent audit institutions.