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Failure mode and effect analysis (FMEA) is a well-known engineering technique to recognize and reduce possible failures for quality and reliability improvement in products and services. It is a group-oriented method usually conducted by a multidisciplinary and cross-functional expert panel. In this paper, we explore two key issues inherent to the FMEA practice: the representation of diversified risk...
Modern telecommunication networks include different software kinds and operation systems with a large number of vulnerabilities. It is very important to assess risk levels for them. We suggested a method for vulnerability risk assessment in telecommunication networks. It is based on the Common Vulnerability Scoring System (CVSS) V3, expert judgments and fuzzy logic. We used fuzzy production rules...
The main purpose of the research is development of methodology of a statistical investigation of effective management of Russian power engineering enterprises production assets which is realized on the basis of artificial intelligence methods to create information analysis systems of the analysis of technological risks of new generation. Mathematical modeling was the research method used in experimental...
Based on the analyses systems of fuzzy fault tree and event tree, this paper proposes a method for a reliability risk analysis to mitigate problems associated with risk modeling of fuzzy and uncertain information. Risk event occurrence probabilities were obtained with fuzzy linguistic variables instead of exact values used in fault tree analysis. Quantitative analysis was applied to the fuzzy fault...
In this paper trustworthiness evaluation issue of cloud provider is considered. A new architectural approach for the trust assessment system is proposed. According to the approach the cloud provider's trust level is calculated by aggregating provider's risk and reputation values. For the demonstration of the capabilities of the proposed method the experimental tests are conducted in Matlab program...
This paper reports on current work at the University of Vienna on creating a multilingual cognitive system for collaborative domain communication a) in the field of risk management and b) in a digital humanities collaborative virtual research environment. The task of computational modelling and of designing the cognitive system is described with a focus on the cognitive user requirements in terms...
The calculation of the premium cost of an option exchange is usually computed by the different mathematical models that obtain the degree of uncertainty in the financial market by Black-Scholes method though such a degree is inaccurate. In order to improve the management of uncertainty the use of fuzzy logic makes possible to capture a better reality of the derivatives market in an uncertain environment...
In medical device software domain, risk management is a crucial process. With complex systems, medical device software safety becomes more complicated to achieve. Traditional Failure Mode Effect and Analysis (FMEA) have been used for medical device software development for a while. However, there are many studies reveal that traditional approach is inadequate for assessing different risks. This study...
Thereis system analysis and information security risks assessment based on processing of linguistic variables. These variables are based on standard parametric trapezoidal fuzzy numbers with a fixed number of term sets. These standards are defined by experts at the initialization stage of basic units in the course of system setup. Its efficient use will increase, if there is a possibility of standards...
The known information security assessment risk system (developed by authors) is based on processing methods of linguistic variables. Their foundation are reference parametric trapezoidal fuzzy numbers with different plurality of defining terms, the formation of which is associated with the involvement of experts in the relevant subject area. For more efficient use of such system it's necessary to...
A leading cause of hospital admission in the elderly is heart failure and it is considered a major financial burden since the hospitalization costs are high. This is intensified with a lack of medical professionals due to a continuing significant increase of patients with heart failure as a result of obesity, diabetes and aging population. Integration of an intelligent decision support system into...
An efficient and effective security risk assessment benefits a lot on realizing the potential threats changing, uncovering emergency when maintaining cyber security, and maximize utilization of available resource. However, traditional cyber security risk assessments are usually based on knowledge-driven approach which is suffered from demanding lots of proper domain knowledge and time-consuming human...
Construction companies always try to employ practical tools to assess risks and determine project contingency, yet the uncertain nature of risk makes it difficult to ensure that the assessment process is accurate or the agreed-upon project contingency is sufficient to deal with such uncertainty. This paper introduces a novel contingency determination procedure that employs fuzzy arithmetic in carrying...
Risk assessment plays crucial role in the software project management. The critical examination of different risk assessment methods help researchers and practitioners to evaluate the impact of various project related risks. The existing Fuzzy Ex-COM (Fuzzy Expert COCOMO) model is a combination of fuzzy technique and Expert COCOMO. It takes help of expertise and information from earlier activities...
Cloud computing has recently emerged compelling paradigm by introducing several characteristics such as on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Despite the fact that cloud computing offers huge cost benefits for companies, the unique security challenges have been introduced in a cloud environment that make risk assessment challenging...
Software development risk is one of the major factors that affect the software cost, reliability and deadlines. Risk analysis begins with the very presentation of software proposal. Risk factors are added with software cost at each successive step. Other then this some other factors like availability of resources, software duration also affect the software risk. In this work we will provide a model...
Currently, many companies require agility in supply chains to manage disruption risks. Supplier selection is one of the most important decisions for the success of firms. It is the first step of the activities in the product realization process starts from the purchase of materials for production and then delivery products to end customers. The objective of this research is to develop a conceptual...
This paper presents a Fuzzy Consensus Qualitative Risk Analysis Framework to identify and prioritize risks encountered in Building Construction Projects, which is applied to developing countries. The framework utilizes and compares three fuzzy consensus aggregation algorithms to select the most appropriate one in aggregating experts' opinions in prioritizing risks: (1) Fuzzy Similarity Aggregation...
Effectively managing risk is an essential element of successful project management. It is imperative that project management team consider all possible risks to establish corrective actions in the right time. So far, several techniques have been proposed for project risk analysis. Failure Mode and Effect Analysis (FMEA) is recognized as one of the most useful techniques in this field. The main goal...
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