scholarly journals Risk assessment model of investment business process in the forest industry

2020 ◽  
pp. 271-278
Author(s):  
Л.А. Чудовская ◽  
С.М. Галилеев ◽  
М.М. Галилеев
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Business Process ◽  
Assessment Model ◽  
Investment Efficiency ◽  
Risk Assessment Model ◽  
Timber Industry ◽  
Current State ◽  
State Of The Economy ◽  
Matlab Package

Рассмотрена оценка инвестиционного бизнес-процесса в отрасли лесопромышленного комплекса с помощью аппарата нечеткой логики. Модель позволяет оптимизировать работу транспортных узлов лесного комплекса, работу деревообрабатывающих предприятий, леспромхозов с точки зренияэффективности вложения инвестиций в условиях неопределенности современного состояния экономики. Рассмотрена модель оценки риска как задачи линейного программирования в нечеткой постановке. Использованы построенные функции принадлежности - треугольные и гауссовы на основе экспертных оценок. При решении задачи использован пакет MatLab с Toolbox Fuzzy Logic и метод Балаша. Полученные результаты показали работоспособность предлагаемой модели и возможность использования ее в различных отраслях лесопромышленного комплекса к оценке риска инвестиционного бизнес-процесса. The article considers the evaluation of the investment business process in the timber industry using fuzzy logic. The model makes it possible to optimize the operation of transport nodes of the forest complex, the work of woodworking enterprises, forestry enterprises in terms of investment efficiency in the conditions of uncertainty of the current state of the economy. The risk assessment model is considered as a linear programming problem in a fuzzy formulation. The constructed membership functions - triangular and Gaussian-based on expert estimates are used. The MatLab package with Toolbox Fuzzy Logic and the Balash method were used to solve the problem. The results obtained showed the efficiency of the proposed model and the possibility of using it in various sectors of the timber industry to assess the risk of investment business process.

Improving risk assessment model of cyber security using fuzzy logic inference system

2018 ◽  
Vol 74 ◽  
pp. 323-339 ◽  
Author(s):  
Mansour Alali ◽  
Ahmad Almogren ◽  
Mohammad Mehedi Hassan ◽  
Iehab A.L. Rassan ◽  
Md Zakirul Alam Bhuiyan
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Cyber Security ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Inference System ◽  
Fuzzy Logic Inference ◽  
Logic Inference

Risk assessment model of mining equipment failure based on fuzzy logic

2014 ◽  
Vol 41 (18) ◽  
pp. 8157-8164 ◽  
Author(s):  
Dejan V. Petrović ◽  
Miloš Tanasijević ◽  
Vitomir Milić ◽  
Nikola Lilić ◽  
Saša Stojadinović ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Assessment Model ◽  
Equipment Failure ◽  
Risk Assessment Model ◽  
Mining Equipment

scholarly journals DFAHP MULTICRITERIA RISK ASSESSMENT MODEL FOR REDEVELOPING DERELICT PUBLIC BUILDINGS

2013 ◽  
Vol 17 (4) ◽  
pp. 333-346 ◽  
Author(s):  
Sung-Lin Hsueh ◽  
Jen-Rong Lee ◽  
Yu-Lung Chen
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Delphi Method ◽  
Assessment Method ◽  
Assessment Model ◽  
Sustainable Urban Development ◽  
Risk Assessment Model ◽  
City Development ◽  
Public Buildings

Reusing abandoned public buildings is a positive strategy in sustainable urban development. An appropriate assessment method is needed to reduce the risks of redeveloping derelict public properties. The Delphi method is an optimal group decision-making technique; whereas the analytical hierarchy process (AHP) method is useful for solving multicriteria decision-making problems. In addition, fuzzy logic manages artificial uncertainty and ambiguity, where an explicit number or ratio can express the level of preference. This study uses the Delphi method, fuzzy logic, and AHP (DFAHP) as a risk assessment model to redevelop derelict public buildings. The DFAHP provides an objective reference for investment decisions and is beneficial in reducing the risk of the public sector investing in the reuse of abandoned public buildings, in aiding in reuse cases that revitalize urban economic development, and in appreciating the value of sustainable city development.

scholarly journals Fuzzy Model for Risk Assessment of Machinery Failures

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 525 ◽  
Author(s):  
Dejan V. Petrović ◽  
Miloš Tanasijević ◽  
Saša Stojadinović ◽  
Jelena Ivaz ◽  
Pavle Stojković
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Fuzzy Sets ◽  
Fuzzy Inference ◽  
Mining Industry ◽  
Fuzzy Model ◽  
Assessment Model ◽  
Risk Level ◽  
Engineering System ◽  
Risk Assessment Model

The main goal of this research was the development of an algorithm for the implementation of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the fuzzy sets with regard to class was used, and the symmetric fuzzy inference approach was used in an outcome calculation. The main benefit of the proposed model is being able to use numerical and linguistic data in a risk assessment model. The proposed risk assessment model, using fuzzy logic conclusions and min–max composition, was used on a mobile crushing machine. The results indicated that the risk level of the mobile crushing machine was in the “high” category, which means that it is necessary to introduce maintenance policies based on this high risk. The proposed risk assessment model is useful for any engineering system.

Risk assessment model for venous thromboembolism in hospitalized surgical and non-surgical patients in the 4th Hungarian Antithrombotic Guidelines entitled “Diminution and Treatment of Venous Thromboembolism”

2010 ◽  
Vol 151 (34) ◽  
pp. 1365-1374 ◽  
Author(s):  
Marianna Dávid ◽  
Hajna Losonczy ◽  
Miklós Udvardy ◽  
Zoltán Boda ◽  
György Blaskó ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Venous Thromboembolism ◽  
Assessment Model ◽  
Surgical Patients ◽  
Risk Assessment Model

A kórházban kezelt sebészeti és belgyógyászati betegekben jelentős a vénásthromboembolia-rizikó. Profilaxis nélkül, a műtét típusától függően, a sebészeti beavatkozások kapcsán a betegek 15–60%-ában alakul ki mélyvénás trombózis vagy tüdőembólia, és az utóbbi ma is vezető kórházi halálok. Bár a vénás thromboemboliát leggyakrabban a közelmúltban végzett műtéttel vagy traumával hozzák kapcsolatba, a szimptómás thromboemboliás események 50–70%-a és a fatális tüdőembóliák 70–80%-a nem a sebészeti betegekben alakul ki. Nemzetközi és hazai felmérések alapján a nagy kockázattal rendelkező sebészeti betegek többsége megkapja a szükséges trombózisprofilaxist. Azonban profilaxis nélkül marad a rizikóval rendelkező belgyógyászati betegek jelentős része, a konszenzuson alapuló nemzetközi és hazai irányelvi ajánlások ellenére. A belgyógyászati betegek körében növelni kell a profilaxisban részesülők arányát és el kell érni, hogy trombózisrizikó esetén a betegek megkapják a hatásos megelőzést. A beteg trombóziskockázatának felmérése fontos eszköze a vénás thromboembolia által veszélyeztetett betegek felderítésének, megkönnyíti a döntést a profilaxis elrendeléséről és javítja az irányelvi ajánlások betartását. A trombózisveszély megállapításakor, ha nem ellenjavallt, profilaxist kell alkalmazni. „A thromboemboliák kockázatának csökkentése és kezelése” című, 4. magyar antithromboticus irányelv felhívja a figyelmet a vénástrombózis-rizikó felmérésének szükségességére, és elsőként tartalmazza a kórházban fekvő belgyógyászati és sebészeti betegek kockázati kérdőívét. Ismertetjük a kockázatbecslő kérdőíveket és áttekintjük a kérdőívekben szereplő rizikófaktorokra vonatkozó bizonyítékokon alapuló adatokat.

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