scholarly journals Application of Fuzzy DEMATEL in Risks Evaluation of Knowledge-Based Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
M. Abbasi ◽  
R. Hosnavi ◽  
B. Tabrizi
Keyword(s):  
Risk Factors ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
New Products ◽  
Linguistic Variables ◽  
Fuzzy Dematel ◽  
Knowledge Based ◽  
Wide Range ◽  
Do So

Developing new products has received much attention within the last decades. This issue can be highlighted for strategic innovations, in particular. Recently, knowledge-based networks have been introduced in order to facilitate the affair of transforming knowledge into commercial products which can be regarded as a set of research centers, universities, knowledge intermediaries, customers, and so forth. However, there is a wide range of risk factors that are liable to affect the chain performance. Hence, this paper aims to consider the most influencing criteria that can play a more significant role in achievements of such networks. To do so, DEMATEL has been applied to take the relationships between the risk factors into account. Moreover, fuzzy set theory has been utilized in order to deal with the linguistic variables. Finally, the most important factors are identified and their relations are determined.

scholarly journals Applications of Fuzzy Technology in Business Intelligence

2011 ◽  
Vol 6 (3) ◽  
pp. 428 ◽  
Author(s):  
Andreas Meyer ◽  
Hans-Jürgen Zimmermann
Keyword(s):  
Set Theory ◽  
Fuzzy Clustering ◽  
Fuzzy Set ◽  
Business Intelligence ◽  
Fuzzy Set Theory ◽  
Mathematical Theory ◽  
Business Management ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Single Method

Fuzzy Set Theory has been developed during the last decades to a demanding mathematical theory. There exist more than 50,000 publications in this area by now. Unluckily the number of reports on applications of fuzzy technology has become very scarce. The reasons for that are manifold: Real applications are normally not single-method-applications but rather complex combinations of different techniques, which are not suited for a publication in a journal. Sometimes considerations of competition my play a role, and sometimes the theoretical core of an application is not suited for publication. In this paper we shall focus on applications of fuzzy technology on real problems in business management. Two versions of fuzzy technology will be used: Fuzzy Knowledge based systems and fuzzy clustering. It is assumed that the reader is familiar with basic fuzzy set theory and the goal of the paper is, to show that the potential of applying fuzzy technology in management is still very large and hardly exploited so far.

Stability Failure Analysis in the Operations of Floating Dry Docks

2017 ◽  
Vol Vol 159 (A1) ◽  
Author(s):  
D A Njumo
Keyword(s):  
Failure Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evidential Reasoning ◽  
Linguistic Variables ◽  
Main Area ◽  
Failure Data ◽  
Dry Dock

The main area of this work reflects a topic for which there is little or limited reference available and is carried out to meet the needs of professional and practical floating dry dock operators. The risk of hazards in floating dry docks is evaluated using a discrete fuzzy set theory (FST) and an evidential reasoning (ER) approach in a situation where historical failure data is not available. Fuzzy set modelling is used to estimate the safety levels of the causes of basic failure events in floating dry docks due to stability concerns using the concept of linguistic variables, and provides a framework for dealing with such variables in a systematic way. The ER approach is used to synthesise the estimated safety levels of the causes of hazards/basic hazard events. The results of this work will be valuable to dry dock masters and sister maritime engineering professionals.

scholarly journals FANPCE TECHNIQUE FOR RISK ASSESSMENT ON SUBWAY STATION CONSTRUCTION

2019 ◽  
Vol 25 (6) ◽  
pp. 599-616 ◽  
Author(s):  
Luyuan Wu ◽  
Haibo Bai ◽  
Chao Yuan ◽  
Changyu Xu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Weight Matrix ◽  
Subway Station ◽  
Total Risk

Risk assessment is critical for the construction of the subway station to improve the risk management and reduce the additional loss. According to field investigation of safe construction, the analytical network process (ANP), fuzzy set theory and fuzzy comprehensive evaluation (FCE), a fuzzy ANP comprehensive evaluation (FANPCE) model was proposed to evaluate the risk of subway station construction in this paper. Twelve key risk factors of subway station construction were identified through literature review and questionnaires. The interdependency among risk factors were illustrated through the network structure of ANP, and then a weight matrix of single risk factors was built by comments and survey results, and the interdependent weight matrix was quantified by integrating the triangular fuzzy number into the ANP. Subsequently, the total risk rank of assessed projects can be quantified though the synthesis of weight matrices with the synthetic operator of FCE. Wu Lu Kou subway station was selected as a case study. The results imply that, construction experience, underground water, and safety consciousness have a substantial influence on construction projects and that the total construction risk of Wu Lu Kou subway station is ranked at I level. Moreover, the loss analysis of the whole construction process verifies this method. This research contributes to developing a FANPCE method to identify the risk factors with high weights, assess the risk rank of projects and appropriately respond to the results. In addition, the developed fuzzy set theory-ANP-FCE integrated network provides stakeholders a consolidated model for the risk evaluation.

scholarly journals Decision Making Problem for Medical Diagnosis Using Hexagonal Fuzzy Number Matrix

2018 ◽  
Vol 7 (3.34) ◽  
pp. 660
Author(s):  
S Sandhiy ◽  
K Selvakumari
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Medical Diagnosis ◽  
Vital Role ◽  
Diagnostic Model ◽  
Knowledge Based ◽  
Medical Diagnostic ◽  
Membership Matrix

Fuzzy set theory plays a vital role in medical fields. There are varieties of models involving fuzzy matrices to deal with different complicated aspects of medical diagnosis. Fuzzy set theory is highly suitable and applicable for developing knowledge based system in medicine for the tasks of medical findings. The field of medicine and decision making are the most fruitful andinteresting area of applications of fuzzy set theory. In this paper, we have applied the notion of Hexagonal fuzzy membership matrix in a medical diagnostic model. The advantage of this model is, if the patient-matrices are known, then it is possible to find which patient is suffering from what kind of disease. Most probably the fuzzy decision model in which overall ranking or ordering of different fuzzy sets are determined by using comparison matrix.   

STABILITY FAILURE ANALYSIS IN THE OPERATIONS OF FLOATING DRY DOCKS

2021 ◽  
Vol 159 (A1) ◽  
Author(s):  
D A Njumo
Keyword(s):  
Failure Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evidential Reasoning ◽  
Linguistic Variables ◽  
Main Area ◽  
Failure Data ◽  
Dry Dock

The main area of this work reflects a topic for which there is little or limited reference available and is carried out to meet the needs of professional and practical floating dry dock operators. The risk of hazards in floating dry docks is evaluated using a discrete fuzzy set theory (FST) and an evidential reasoning (ER) approach in a situation where historical failure data is not available. Fuzzy set modelling is used to estimate the safety levels of the causes of basic failure events in floating dry docks due to stability concerns using the concept of linguistic variables, and provides a framework for dealing with such variables in a systematic way. The ER approach is used to synthesise the estimated safety levels of the causes of hazards/basic hazard events. The results of this work will be valuable to dry dock masters and sister maritime engineering professionals.

scholarly journals Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets

Mathematics ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 780 ◽  
Author(s):  
Quek ◽  
Selvachandran ◽  
Munir ◽  
Mahmood ◽  
Ullah ◽  
...  
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Aggregation Operators ◽  
Neutrosophic Sets ◽  
Operational Laws ◽  
Fuzzy Aggregation ◽  
Multi Attribute Decision Making ◽  
Do So

The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions. The purpose of this manuscript is to point out the limitations of the existing intuitionistic fuzzy Einstein averaging and geometric operators and to develop some improved Einstein aggregation operators. To do so, first some new operational laws were developed for T-spherical fuzzy sets and their properties were investigated. Based on these new operations, two types of Einstein aggregation operators are proposed namely the Einstein interactive averaging aggregation operators and the Einstein interactive geometric aggregation operators. The properties of the newly developed aggregation operators were then investigated and verified. The T-spherical fuzzy aggregation operators were then applied to a multi-attribute decision making (MADM) problem related to the degree of pollution of five major cities in China. Actual datasets sourced from the UCI Machine Learning Repository were used for this purpose. A detailed study was done to determine the most and least polluted city for different perceptions for different situations. Several compliance tests were then outlined to test and verify the accuracy of the results obtained via our proposed decision-making algorithm. It was proved that the results obtained via our proposed decision-making algorithm was fully compliant with all the tests that were outlined, thereby confirming the accuracy of the results obtained via our proposed method.

PREVENTIVE MAINTENANCE SCHEDULING FOR A SYSTEM WITH ASSURED RELIABILITY USING FUZZY SET THEORY

1994 ◽  
Vol 01 (04) ◽  
pp. 497-513 ◽  
Author(s):  
P.V. SURESH ◽  
DIPAK CHAUDHURI
Keyword(s):  
Fuzzy Sets ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Preventive Maintenance ◽  
Operating Conditions ◽  
Maintenance Scheduling ◽  
Linguistic Variables ◽  
Operating Condition ◽  
Starting Condition

Preventive maintenance of any system should depend on its starting, ending and operating conditions. Systems working with a minimum permissible reliability should be maintained at predetermined points to ensure its reliability do not fall below the permissible level. For any period, the starting condition of a system and the operating condition can be specified using fuzzy sets. Since the condition of the system at the end of a period depends on its starting condition and the operating condition during the period, linguistic variables are also required to specify it. This paper describes how to select periods of maintenance and the types of maintenance for such a system. The model utilizes the fuzzy set theory to determine the period length and the type of maintenance.

scholarly journals Fuzzy Logic and Its Application in Football Team Ranking

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Wenyi Zeng ◽  
Junhong Li
Keyword(s):  
Fuzzy Logic ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Knowledge Based ◽  
Fuzzy Clustering Analysis ◽  
Football Team ◽  
Fuzzy Logic Method ◽  
Selection For ◽  
Sports Data

Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in physical education for tasks such as the selection for athletes, the evaluation for different training approaches, the team ranking, and the real-time monitoring of sports data. In this paper, we use fuzzy set theory and apply fuzzy clustering analysis in football team ranking. Based on some certain rules, we propose four parameters to calculate fuzzy similar matrix, obtain fuzzy equivalence matrix and the ranking result for our numerical example,T7,T3,T1,T9,T10,T8,T11,T12,T2,T6,T5,T4, and investigate four parameters sensitivity analysis. The study shows that our fuzzy logic method is reliable and stable when the parameters change in certain range.

Evaluate Engineering Project Risk Based on Fuzzy Set

2011 ◽  
Vol 368-373 ◽  
pp. 2216-2219
Author(s):  
Wei Zhang ◽  
Leng Fei Sun
Keyword(s):  
Risk Factors ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Numbers ◽  
Engineering Project ◽  
Project Risk ◽  
Engineering Projects

Engineering projects often face risks from technology, economy, nature, social and other aspects. Risk factors are of interdependence and interaction, so they are very difficult to be quantified. The paper describes a risk evaluation method for engineering projects based on fuzzy set theory which uses respective fuzzy numbers to evaluate the factors. The primary weights of factors and evaluation of alternatives are determined by applying fuzzy numbers. The results are consistent with the results calculated by conventional risk evaluation method. The research demonstrates that the method is objective and accurate, and is of an application value in the risk evaluation for engineering projects.

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