Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications

Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications

Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making: Optimization Applications

Author: Irfan Ali, Umar Muhammad Modibbo, Asaju La’aro Bolaji, Harish Garg (Author)

Publisher finelybook 出版社:‏ CRC Press‎

Edition 版本:‏ N/A

Publication Date 出版日期:‏ 2024-12-26

Language 语言: English

Print Length 页数: 247 pages

ASIN: 1003536794

ISBN-13: 9781003536796

Book Description

This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‑objective optimization under Fermatean hesitant fuzzy and uncertain environment.

This book:

• Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problem.

• Presents an overview of artificial intelligence (AI) and explainable AI decision‑making (XAIDM) and illustrates a data‑driven optimization concept for modeling environmental and economic sustainability.

• Discusses machine learning‑based multi‑objective optimization technique for load balancing in integrated fog‑cloud environment.

• Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals.

• Discusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‑estimation of functional regression operator, and intuitionistic fuzzy sets applications.

The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.

Table of Contents
1. M-Estimation of Functional Regression Operator with Responses Missing at Random

Subhra Sankar Dhar and Shalabh

2. A Multi-Objective Solid Transportation Problem for the Sustainable Transit of Hazardous Waste in the Complex Fermatean Hesitant Fuzzy Environment

M.K. Sharma, Sadhna Chaudhary

3. A Framework of Hybrid Metaheuristic H – Gey Optimization for Embedding Factor Decision Making in Digital Image Watermarking on Social Media

Kilari Jyothsna Devi, Priyanka Singh

4. New Cosine Similarity Measures For Intuitionistic Fuzzy Sets With Application In Decision Making

S. Ahemen, R. Ujah, P. A. Ejegwa

5. Multi-Objective Optimization Problems in Focus: Meaning, Approaches, and Implementation

Ismail Olaniyi MURAINA

6. Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Sourena Rahmani, Hamed Aghalar, Sahel Jebreili, Alireza Goli

7. Evaluation of Factors Affecting Destination Selection in Medical Tourism with Spherical Fuzzy Analytic Hierarchy Process Method

Bilal Saraç and Seher Gülenç

8. Effect Of Artificial Intelligence On Education

Santu Karmakar and Tapash Das

9. Unleashing the Power of IoT: Transforming Industries and Enabling Connected Environments

Abdussalam Abba Tukur

10. A multi-Echelon Multi-Objective Sustainable Supply Chain Considering Traffic Congestion

Meraj Hejazi, Fatemeh Harsej, Seyed Ehsan Mirani, Hassan Ahmadi Choukolaei, and Peiman Ghasemi

11. Digital supply chain management in manufacturing industries

Seyydeh Atefeh Mousavi Abandansari, Kourosh Mokhtari, FaribaGoodarzian

12. A Green Fractional Transportation System Under Dual Hesitant Fermatean Fuzzy Configuration with Safety Factor

M.K. Sharma, Sadhna Chaudhary

13. Application of Hybrid SVM-LR Algorithm for Sentiment Analysis

P. A. Ashoshi and M. A. Hambali

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