scholarly journals Using Fuzzy Logic to Increase the Accuracy of E-Commerce Risk Assessment Based on an Expert System

2017 ◽  
Vol 7 (6) ◽  
pp. 2205-2209
Author(s):  
H. Beheshti ◽  
M. Alborzi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Qualitative Methods ◽  
Set Theory ◽  
Quantitative Methods ◽  
Boolean Logic ◽  
Fuzzy Mathematics ◽  
Inaccurate Data ◽  
Fuzzy Expert Systems

Strong adaptive control can be exercised even without access to accurate data inputs. Such control is possible through fuzzy mathematics, which is a meta-collection of Boolean logic principles that imply relative accuracy. Fuzzy mathematics find applications in e-commerce, where different risk analysis methods are available for risk assessment and estimation. Such approaches can be quantitative or qualitative, depending on the type of examined data. Quantitative methods are grounded in statistics, whereas qualitative methods are based on expert judgments and fuzzy set theory. Given that qualitative methods are very subjective and deal with vague or inaccurate data, fuzzy logic can be used to extract useful information from data inaccuracies. In this study, a model based on the opinions of e-commerce security experts was designed and implemented by using fuzzy expert systems and MATLAB. A case study was conducted to validate the effectiveness of the Model.

scholarly journals Supply chain risk assessment approach for process quality risks

2017 ◽  
Vol 34 (7) ◽  
pp. 940-954 ◽  
Author(s):  
Abhijeet Ghadge ◽  
Xie Fang ◽  
Samir Dani ◽  
Jiju Antony
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Failure Modes ◽  
Design Stage ◽  
Security Risks ◽  
Content Type ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights. Findings Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated risks for products and processes. Today’s managers should conduct robust risk assessment during the design stage to avoid product safety and security risks such as recalls. Research limitations/implications The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights. Originality/value The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.

Estimating the consequences of wildfire for wildfire risk assessment, a case study in the southern Gulf Islands, British Columbia, Canada

2010 ◽  
Vol 40 (11) ◽  
pp. 2104-2114 ◽  
Author(s):  
Matthew Tutsch ◽  
Wolfgang Haider ◽  
Ben Beardmore ◽  
Kenneth Lertzman ◽  
Andrew B. Cooper ◽  
...  
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
British Columbia ◽  
Quantitative Methods ◽  
Loss Of Life ◽  
Wildfire Risk ◽  
The Common ◽  
Gulf Islands ◽  
In Fire

Wildfire risk assessment research has made considerable progress towards estimating the probability of wildfires but comparatively little progress towards estimating the expected consequences of potential fires. One challenge with estimating wildfire consequences has been to identify a common metric that can be applied to consequences measured in different units. In this paper, we use the preferences of representatives of local fire management agencies as the common consequences metric and apply it to a case study in the southern Gulf Islands, British Columbia, Canada. The method uses an expert survey and a maximum-difference conjoint analysis to establish the relative importance of specific fire consequences. A fire with a major potential for loss of life was considered to be about three times worse than major damage to houses and 4.5 times worse than loss of a rare species. Risk ratings were very sensitive to changes in fire consequences ratings. As the complexity of values at risk and number of stakeholders increase, the most efficient allocation of wildfire prevention, protection, and suppression resources becomes increasingly challenging to determine. Thus, as the complexity of stakeholder representation and values at risk increases, we need to pay increasing attention to quantitative methods for measuring wildfire consequences.

Fuzzy Logic Approach in Risk Assessment

2018 ◽  
pp. 6789-6805
Author(s):  
Çetin Karahan ◽  
Esra Ayça Güzeldereli ◽  
Aslıhan Tüfekci
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Crucial Role ◽  
Quantitative Methods ◽  
Business Management ◽  
Human Reasoning ◽  
Action Plans ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Risk is the likelihood of occurrence of any event that may obstruct the ability of organizations to achieve their strategic, financial and operational goals. It is of profound importance for the business management to detect risks and determine appropriate actions against in time. Risk assessment is a continuous and recursive process aimed at maximization of the use of opportunities while minimizing threats. There is a tendency in the field of risk assessment to prefer more quantitative methods to reduce unclarity. One such method is fuzzy logic. This study investigates fuzzy logic as an alternative to the classical methods that have been used for the purposes of risk assessment, which plays a crucial role in business action plans. Due to its similarity to the process of human reasoning and its success in cases of unclarity, fuzzy logic offers a number of advantages in this regard.

ARITHMETIC MEAN BASED COMPENSATORY FUZZY LOGIC

2011 ◽  
Vol 10 (02) ◽  
pp. 231-243 ◽  
Author(s):  
AGUSTINA BOUCHET ◽  
JUAN IGNACIO PASTORE ◽  
RAFAEL ESPIN ANDRADE ◽  
MARCEL BRUN ◽  
VIRGINIA BALLARIN
Keyword(s):  
Fuzzy Logic ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Arithmetic Mean ◽  
Original Model ◽  
Logic Model ◽  
Boolean Logic ◽  
New Model ◽  
Original Definition ◽  
Continuous Operators

Fuzzy Logic is a multi-valued logic model based on fuzzy set theory, which may be considered as an extension of Boolean Logic. One of the fields of this theory is the Compensatory Fuzzy Logic, based on the removal of some axioms in order to achieve a sensitive and idempotent multi-valued system. This system is based on a quadruple of continuous operators: conjunction, disjunction, order and negation. In this work we present a new model of Compensatory Fuzzy Logic based on a different set of operators, conjunction and disjunction, than the ones used in the original definition, and then prove that this new model satisfies the required axioms. As an example, we present an application to decision-making, comparing the results against the ones based on the original model.

A Model for the Domino Effect Analysis in Quantitative Risk Assessment

2013 ◽  
Vol 328 ◽  
pp. 314-317
Author(s):  
Ming Liang Chen ◽  
Zhi Qiang Geng ◽  
Qun Xiong Zhu
Keyword(s):  
Risk Assessment ◽  
Quantitative Methods ◽  
Process Industry ◽  
Quantitative Risk Assessment ◽  
Domino Effect ◽  
Effect Analysis ◽  
Chemical Process Industry ◽  
Industrial Sites ◽  
Event Trees

The domino effect is responsibility for many most destructive accidents in the chemical process industry. The catastrophic consequences are not only affecting the industrial sites, but also people and environment. However, quantitative methods which take in to account the domino effect are still missing. A model for quantitative assessment of the domino effect is presented. The probabilities of occurrence are obtained by the event trees. The frequencies of different accidents can be obtained by applying the proposed method. The results of the case study show that the domino effect should be taken into account in quantitative risk assessment (QRA).

scholarly journals Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)

2020 ◽  
Vol 17 (1) ◽  
pp. 472
Author(s):  
Adel Al Janabi ◽  
Ehsan Ali Kareem ◽  
Radhwan Hussein Abdulzhraa Al Sagheer
Keyword(s):  
Fuzzy Logic ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Education Quality ◽  
Assessment Strategy ◽  
Process Technique ◽  
Training Area

<span>The consideration that the Iraqi community has concentrated on the training area has delivered another college responsibility routed to superiority viewpoints for all training connected facilities. In truth, a superiority arranged facility necessitates perfection in the structure and arranging of facility exercises, in addition to amid its conveying for the received facility execution assessment strategy. In any case, considering that facility execution assessments are profoundly founded on partners’ decisions, they can be described by conceivable vulnerabilities identified with deficiency for incomplete obliviousness, imprecision for subjectivity and even dubiousness. In this way, underneath these circumstances, temperamental outcomes can be acquired by broadly measured facility investigation strategies. This paper is a strategy dependent an ongoing augmentation of ServQual display and it utilizes a consolidated way of Fuzzy Set Theory of command process technique that is proposed to adequately deal with vulnerability in facility execution examinations. Specifically, Fuzzy Set Theory is measured to manage vulnerability, while AHP strategy is embraced as device to appraise the significance loads of key facility characteristics. In this way, the key investigation of the facility esteem tree identified with the program in University of Kufa is made by using the planned strategy. The completed facility examination permits the most impacting facility execution components to be caught and remarked. At last, acquired outcomes demonstrate that the teachers' view of facility quality definitively impacts by large facility execution level. </span>

scholarly journals RM/RA CRAMM as the new quantitative method for risk management

2018 ◽  
Vol 6 (1) ◽  
pp. 6-12
Author(s):  
Jana Müllerová
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Quantitative Methods ◽  
Case Study Research ◽  
Single Equation ◽  
Risk Identification ◽  
Jel Classification ◽  
Team Work ◽  
Wide Range

Purpose – The aim of this paper is to introduce new risk management method based on quantitative approach. RM/RA CRAMM was designed by Slovak researchers as user-friendly method for Public institutions dealing with risk management, crisis planning, civil protection. It has a multipurpose use. Design/methodology/approach – Three-phase procedure is introduced, including risk identification, analysis and evaluation. The case-study of risk assessment as an example of the application is included. Findings – Quantitative methods in risk management are rare due to the complex of factors influencing the risks being assessed. Research limitations/implications – A complex Area/Location risk assessment needs number of exact values and estimations for proper risk identification. Team-work is very welcomed but not necessary. Practical implications – Practical value of the method is incredible due to its applicability on the wide range of the research fields related to the risk management. Originality/Value – The method introduced is an original product of Slovak team of researchers led by author of this paper. Keywords: RM/RA CRAMM, risk management, risk assessment, quantitative, single equation method, case study. Research type: case study. JEL classification: C20 – General.

UNDERSTANDING AND USING QUALITATIVE METHODS IN PERFORMANCE MEASUREMENT

2016 ◽  
pp. 46-57
Author(s):  
H.M Kasinath
Keyword(s):  
Qualitative Methods ◽  
Performance Measurement ◽  
Quantitative Methods ◽  
Qualitative Evaluation ◽  
Psychological Research ◽  
Practical Reasons ◽  
Qualitative And Quantitative Methods ◽  
Quasi Experimental ◽  
Constructivist Approaches

Qualitative methods are used in research that is designed to provide an in-depth description of a specific programme, practice, or setting. Three of the possible reasons for choosing qualitative methods are explored in this article: (a) the researcher's view of the world, (b) the nature of the research questions, and (c) practical reasons associated with the nature of qualitative methods. Different types of qualitative research methods are practiced in educational and psychological research out of which, the paper showcases seven strategies Ethnographic research, Case study, Phenomenological research, Grounded theory, Participative inquiry, Clinical research and Focus groups. Qualitative evaluation methods are an essential part of the range of tools that evaluators call upon in their practice. Since the 1970s, when qualitative evaluation methodswerefirstintroducedas alternativetotheexperimental/quasi-experimental paradigms, the philosophical underpinnings and methodological requirements for sound qualitative evaluation have transformed the evaluation profession. Debates continue about the relative merits of positivistic and constructivist approaches to evaluation, but many evaluators have come to the view that pragmatically, it is desirable to mix qualitative and quantitative methods. More specifically the present paper examines the need for understanding and using qualitative methods in performance measurement.

Qualitative methods

2021 ◽  
pp. 13-40
Author(s):  
Iwona Olejnik ◽  
Atanaska Reshetkova
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Methods ◽  
Theoretical Basis ◽  
Quantitative Methods ◽  
The Third ◽  
Sustainability Research ◽  
Projection Techniques ◽  
Ecological Culture

The main goal of the chapter is to present how to use qualitative methods in sustainability research. First, the theoretical basis of the methods is presented, i.e., the essence of qualitative methods, what differs them from quantitative methods, and their types. The second part of this chapter covers designing and conducting a focus group interview (FGI): its essence and main stages, sampling, projection techniques and the script, as well as it contains the case study of ecological culture of Bulgarians. The third part presents considerations necessary to conduct a qualitative research, i.e., the organizational aspects of FGI and the guidelines for the work of the moderator. Finally, the last part shows considerations concerning data analysis—using CAQDAS software.

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