A Fuzzy Logic-Based Approach for Supporting Decision-Making Process in B2C Electronic Commerce Transaction

2011 ◽  
pp. 1416-1429
Author(s):  
Fahim Akhter ◽  
Zakaria Maamar ◽  
Dave Hobbs
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Electronic Commerce ◽  
Decision Process ◽  
Human Reasoning ◽  
Critical Factors ◽  
Human Decision Process ◽  
Human Decision ◽  
Business To Consumer ◽  
B2c Electronic Commerce

The purpose of this article is to present an application of fuzzy logic to human reasoning about electronic commerce (e-commerce) transactions. This article uncovers some of the hidden relationships between critical factors such as security, familiarity, design, and competitiveness. We analyze the effect of these factors on human decision process and how they affect the Business-to-Consumer (B2C) outcome when they are used collectively. This research provides a toolset for B2C vendors to access and evaluate a user’s transaction decision process and also an assisted reasoning tool for the online user.

A Fuzzy Logic-Based Approach for Supporting Decision-Making Process in B2C Electronic Commerce Transaction

2009 ◽  
pp. 258-271
Author(s):  
Fahim Akhter ◽  
Zakaria Maamar ◽  
Dave Hobbs
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Electronic Commerce ◽  
Decision Process ◽  
Human Reasoning ◽  
Critical Factors ◽  
Human Decision Process ◽  
Human Decision ◽  
Business To Consumer ◽  
B2c Electronic Commerce

The purpose of this article is to present an application of fuzzy logic to human reasoning about electronic commerce (e-commerce) transactions. This article uncovers some of the hidden relationships between critical factors such as security, familiarity, design, and competitiveness. We analyze the effect of these factors on human decision process and how they affect the Business- to-Consumer (B2C) outcome when they are used collectively. This research provides a toolset for B2C vendors to access and evaluate a user’s transaction decision process and also an assisted reasoning tool for the online user.

Recent Advancement in Fuzzy System

2014 ◽  
pp. 158-168
Author(s):  
İ. Burhan Türkşen ◽  
İbrahim Özkan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Interdisciplinary Research ◽  
Decision Process ◽  
Fuzzy System ◽  
Research Field ◽  
Decision Under Uncertainty ◽  
Recent Advancement ◽  
Human Decision

Decision under uncertainty is an active interdisciplinary research field. A decision process is generally identified as the action of choosing an alternative that best suites our needs. This process generally includes several areas of research including but not limited to Economics, Psychology, Philosophy, Mathematics, Statistics, etc. In this chapter the authors attempt to create a framework for uncertainties which surrounds the environment where human decision making takes place. For this purpose, the authors discuss how one ought to handle uncertainties within Fuzzy Logic. Furthermore, they present recent advances in Type 2 fuzzy system studies.

From Human Decision Making to DMSS Architecture

2011 ◽  
pp. 40-70 ◽  
Author(s):  
Jean-Charles Pomerol ◽  
Frederic Adam
Keyword(s):  
Decision Making ◽  
Heuristic Search ◽  
Decision Process ◽  
Decision Support Tools ◽  
Human Decision Process ◽  
Look Ahead ◽  
Support Tools ◽  
Cognitive Levels ◽  
Human Decision ◽  
Definition Of

In this chapter we begin by featuring the main characteristics of the human decision process. Then, from these traits, we separate the decision process between diagnosis and look-ahead. We explain why DMSSs are mainly look-ahead machines. We claim that look-ahead is generally performed via heuristic search and “what-if analysis” at different cognitive levels. This leads to a functional definition of DMSSs and to different architectures adapted to heuristic search and moreover, paves the way for an analysis of the decision support tools.

Recent Advancement in Fuzzy System

2015 ◽  
pp. 437-447
Author(s):  
İ. Burhan Türkşen ◽  
İbrahim Özkan
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Interdisciplinary Research ◽  
Decision Process ◽  
Fuzzy System ◽  
Research Field ◽  
Decision Under Uncertainty ◽  
Recent Advancement ◽  
Human Decision

Decision under uncertainty is an active interdisciplinary research field. A decision process is generally identified as the action of choosing an alternative that best suites our needs. This process generally includes several areas of research including but not limited to Economics, Psychology, Philosophy, Mathematics, Statistics, etc. In this chapter the authors attempt to create a framework for uncertainties which surrounds the environment where human decision making takes place. For this purpose, the authors discuss how one ought to handle uncertainties within Fuzzy Logic. Furthermore, they present recent advances in Type 2 fuzzy system studies.

Globalization of Consumer E-Commerce

2011 ◽  
pp. 1678-1684
Author(s):  
Daniel Brandon Jr.
Keyword(s):  
Electronic Commerce ◽  
Web Site ◽  
Home Country ◽  
The Internet ◽  
Key Issues ◽  
Business To Consumer ◽  
B2c Electronic Commerce ◽  
A Company ◽  
Home Territory

This article reviews globalization aspects of “business to consumer” (B2C) electronic commerce. According to Computerworld, “Globalization is the marketing and selling of a product outside a company’s home country. To successfully do that on the Internet, a company needs to localize – make its Web site linguistically, culturally, and in all other ways accessible to customers outside its home territory” (Brandon, 2001). This overview describes the key issues in the globalization of electronic commerce; for more detail, see the full book chapter (Brandon, 2002).

Business to Consumer (B2C) E-Commerce Decade Evolution

2013 ◽  
Vol 4 (4) ◽  
pp. 1-10 ◽  
Author(s):  
Athanasios Drigas ◽  
Panagiotis Leliopoulos
Keyword(s):  
European Union ◽  
Electronic Commerce ◽  
The Internet ◽  
The European Union ◽  
Developed Country ◽  
Internet Users ◽  
The Usa ◽  
Business To Consumer ◽  
B2c Electronic Commerce ◽  
The Way

This paper is a review on Business to Consumer (B2C) electronic commerce (e-commerce) and it studies its evolution over the last decade. The Internet characteristics that affect B2C are the Internet growth, which at first includes the number of Internet users and secondly, the infrastructure, which is basically the quality and speed of the lines. Moreover, the way the Internet growth has affected the B2C e-commerce growth over the last ten years is studied in three major countries-areas. The USA because it is an Internet developed country with vast e-commerce sales, China because it is a rapidly developing Internet country with a large number of users and fast e-commerce activity growth in the last decade and finally, the European Union, because of its diversity in Internet and e-commerce growth. This paper focuses on the aforementioned three geographic areas and extracts its conclusions from the observations of B2C behavior growth in these areas.

scholarly journals A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment

2021 ◽  
Vol 10 (4) ◽  
pp. 37-42
Author(s):  
M.P.L. Perera
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Artificial Intelligent ◽  
Human Decision ◽  
Decision Making Processes ◽  
E Learning ◽  
Intelligent Approach ◽  
Learning Frameworks

Adaptive e-learning the aim is to fill the gap between the pupil and the educator by discussing the needs and skills of individual learners. Artificial intelligence strategies that have the potential to simulate human decision-making processes are important around adaptive e-Learning. This paper explores the Artificial techniques; Fuzzy Logic, Neural Networks, Bayesian Networks and Genetic Algorithms, highlighting their contributions to the notion of the adaptability in the sense of Adaptive E-learning. The implementation of Artificial Neural Networks to resolve problems in the current Adaptive e-learning frameworks have been established.

SOFT COMPUTING: AN INTRODUCTION

2018 ◽  
Vol 8 (6) ◽  
pp. 63
Author(s):  
Matthew N. O. Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan M. Musa
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Low Cost ◽  
Computational Techniques ◽  
Inaccurate Information ◽  
Major Benefit ◽  
Partial Truth ◽  
Human Decision

Soft computing (SC) is a newly emerging multidisciplinary field. It is a collection of computational techniques, such as expert systems, fuzzy logic, neural networks, and evolutionary algorithms, which provide information processing capabilities to solve complex practical problems. The major benefit of SC lies in its ability to tolerate imprecision, uncertainty, partial truth, and approximation in processing imprecise and inaccurate information and simulating human decision making at low cost. This paper provides a brief introduction on soft computing.

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