عنوان

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making :

(Number (ISBN

3030237567

(Number (ISBN

9783030237561

Erroneous ISBN

3030237559

Erroneous ISBN

9783030237554

Title Proper

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making :

General Material Designation

[Book]

Other Title Information

Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019 /

First Statement of Responsibility

Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari, editors.

Place of Publication, Distribution, etc.

Cham :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

2020.

Specific Material Designation and Extent of Item

1 online resource (xix, 1392 pages) :

Other Physical Details

illustrations

Series Title

Advances in intelligent systems and computing ;

Volume Designation

volume 1029

Text of Note

International conference proceedings.

Text of Note

Bipolar models for a more realistic representation and processing of human judgments, intentions and preferences: a role of fuzzy logic -- An Improved Fuzzy Cognitive Mapping Method -- A new community detection algorithm based on fuzzy measures -- A predictive modeling approach to debt collection process -- Intelligent Visual Analysis in Employee Fraud Detection -- A linguistic system of defining and controlling project success -- A Hesitant Fuzzy Correspondence Analysis -- Customer Segmentation Method Determination Using Neutrosophic Sets -- Evaluating Innovation Projects in Air Cargo Sector with Fuzzy COPRAS -- Application of Fuzzy TOPSIS for credit scoring -- Supplier Selection Using Fuzzy Analytic Network Process -- A Fuzzy Based Risk Assessment Model with a Real Case Study -- Intuitionistic Fuzzy c-Control Charts Using Fuzzy Comparison Methods -- Fuzzy Evaluation of a New Search Engine Project to Fundraise NGOs -- Machine Criticality Level Assignment with Fuzzy Inference System for RCM -- Human Reliability Analysis in Healthcare: A Scenario Analysis.

0

Text of Note

This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23-25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.

Title

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making.

International Standard Book Number

9783030237554

Parallel Title

INFUS 2019

Big data, Congresses.

Data mining, Congresses.

Fuzzy sets, Congresses.

Big data.

Data mining.

Fuzzy sets.

Number

Class number

Cebi, Selcuk.

Cevik Onar, Sezi.

Kahraman, Cengiz.

Öztayşi, Bașar.

Sari, İrem Uçal.

Tolga, A. Cagri.

INFUS (Conference)(2019 :, Istanbul, Turkey)

Date of Transaction

20200823092951.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y