INFORMATION AND ANALYTICAL SUPPORT OF MANAGEMENT DECISION MAKING UNDER UNCERTAINTY FOR FIRE FIGHTING IN THE MARINE PORTS

2017 ◽  
pp. 71-80
Author(s):  
Tatiana Sergeevna Stankevich
Keyword(s):  
Decision Making ◽  
Analytical Model ◽  
Fuzzy Model ◽  
Model Verification ◽  
Fire Fighting ◽  
Management Decision ◽  
Successful Implementation ◽  
Management Support ◽  
Neuro Fuzzy ◽  
Dynamic Errors

The article studies the problem of control of firefighting at the seaports under uncertainty, which consists of localization and extinguishing fire with minimum effort and resources within shortest time. The author has developed a model of fire fighting control at the seaports under conditions of uncertainty, the main elements of which are: a model of defining the fire area; a model of selecting the fire rank; an analytical model for evaluating resources sufficiency; an analytical model for resources selection; a neuro-fuzzy model for choosing optimal actions; an evaluation model of successful implementation of the plan; a model for implementation of neuro-fuzzy models. In comparison with existing models, distinctive features of the developed model are the following: application of combined membership functions that allow to perform more accurate approximation of input parameters values; implementation of the block of eliminating dynamic errors. This article assesses the model adequacy and confirms it through model verification and validation. The author has developed information and analytical management support system for fire fighting at seaports which can be used by the chief fire-fighters under uncertainty and is based on the developed model. The developed software is designed to raise the firefighters’ efficiency due to the increase of accuracy of managerial decisions taken by the chief firefighters and reduction of time necessary for decision making.

Identification of Green Procurement Drivers and Their Interrelationship Using Fuzzy TISM and MICMAC Analysis

2018 ◽  
pp. 3086-3102
Author(s):  
Surajit Bag
Keyword(s):  
Team Building ◽  
Fuzzy Model ◽  
Organization Culture ◽  
Successful Implementation ◽  
Management Support ◽  
Total Quality ◽  
Green Process ◽  
Interpretive Structural Modeling ◽  
Green Procurement ◽  
Key Drivers

The objective of the current study is to identify the leading green procurement drivers and identify the interrelationships using fuzzy total interpretive structural modeling and MICMAC approach. For the purpose of this study, twenty-five drivers were identified from existing literature which influences green procurement practices and finally refined through experts' opinion. The final fuzzy model consists of fuzzy relationships between one to one criteria. The key drivers which emerged from Fuzzy TISM and MICMAC analyses are Government policy and Regulations, Total Quality Environmental management, Management Support, Management Review, Continuous education of employees, Cross functional team building, Organization Culture, and Green process and Technology. The green procurement model may assist supply chain practitioners in better decision making and successful implementation of green procurement programs.

Identification of Green Procurement Drivers and Their Interrelationship Using Fuzzy TISM and MICMAC Analysis

2019 ◽  
pp. 167-186
Author(s):  
Surajit Bag
Keyword(s):  
Team Building ◽  
Fuzzy Model ◽  
Organization Culture ◽  
Successful Implementation ◽  
Management Support ◽  
Total Quality ◽  
Green Process ◽  
Interpretive Structural Modeling ◽  
Green Procurement ◽  
Key Drivers

The objective of the chapter is to identify the leading green procurement drivers and identify the interrelationships using fuzzy total interpretive structural modeling and MICMAC approach. For the purpose of this study, 25 drivers were identified from existing literature that influence green procurement practices. These are finally refined through experts' opinions. The final fuzzy model consists of fuzzy relationships between one-to-one criteria. The key drivers which emerged from fuzzy TISM and MICMAC analyses are government policy and regulations, total quality environmental management, management support, management review, continuous education of employees, cross-functional team building, organization culture, and green process and technology. The green procurement model may assist supply chain practitioners in better decision making and successful implementation of green procurement programs.

scholarly journals Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport

2019 ◽  
Vol 16 (19) ◽  
pp. 3585 ◽  
Author(s):  
Miroslav Kelemen ◽  
Volodymyr Polishchuk ◽  
Beáta Gavurová ◽  
Stanislav Szabo ◽  
Róbert Rozenberg ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Fuzzy Model ◽  
State Funding ◽  
Air Transport ◽  
Fuzzy Evaluation ◽  
Applied Model ◽  
Start Up ◽  
Neuro Fuzzy ◽  
Start Ups

The purpose of this paper is to develop an applied fuzzy model of information technology to obtain quantitative estimates of environmental start-up projects in air transport. The developed model will become a useful tool for venture funds, business angels, or crowdfunding platforms for the development of innovative air transport businesses. Obtaining a quantitative estimate of the environmental start-up projects will increase the sustainability of the decision making on the security of financing of such projects by investors. This article develops a fuzzy evaluation model of project start-ups in air transport as an application of our neuro-fuzzy model in a specific air transport environment. The applied model provides output ranking of start-up project teams in air transport based on a four-layer neuro-fuzzy network. The presented model declares the possibilities of the application to solve these economic problems and offers the space for subsequent research focused on its usability in several areas of start-up development, in sectors and processes differentiated. The benefits are also visible for several types of policies, with an emphasis on decision-making processes in regulatory mechanisms to support the state funding in Slovakia, the EU etc.

Improvement of the methodology for calculating the training standards with fire-fighting equipment

2021 ◽  
Vol 91 ◽  
pp. 53-66
Author(s):  
S. V. Frolenkov ◽  
◽  
V. V. Terebnev ◽  
D. V. Tarakanov ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Linear Dependence ◽  
Professional Training ◽  
Training Model ◽  
Fire Fighting ◽  
Successful Implementation ◽  
Technical Equipment ◽  
Fire Departments ◽  
Differential Model ◽  
Training Standards

Introduction. The article deals with improvement of the differential model of training for decision-making when setting standards of training with fire-fighting equipment. Using a differential training model, the study of the setting training standards with new models of technology and fire-technical equipment was carried out. Goals and objectives. The aim of the study is to improve the training model for calculating the training standards and predicting the number of approaches to ensure the successful development of the training in the framework of the management of professional training of firefighters. Methods. The process of obtaining new scientific results can be divided into three stages. At the first stage, when improving the training model, methods for solving differential equations with separable variables were used. At the second stage of the study, the Student's criterion and elements of probability theory were used in the development of training standards with fire-fighting equipment. At the third stage, the Pearson determination criterion was used in the process of assessing the adequacy of the results. Results and discussion. The authors obtained a partial analytical solution of the general differential training model for the case of linear dependence of the training function on the results of the exercise. A method for calculating standards for exercises with fire-fighting equipment based on truncated data is proposed and the results of calculating standards are compared with the generally accepted method for setting standards for exercises with fire-fighting equipment. A method has been developed for determining the values of the function of training based on the results of repeated exercises, taking into account the training factor. Conclusions. Thus, the proposed modification of the training model consists in establishing a linear dependence of the results of the exercises on the number of approaches, which allows planning actions for the successful implementation of exercises with fire-fighting equipment. The directions of further research in terms of the development of the results obtained in the management of professional training of personnel in fire departments have been determined. Keywords: firefighter training management, fire-fighting equipment, training standards, differential training model, decision-making

scholarly journals Fuzzy model of the computer integrated decision support and management system in mineral processing

2008 ◽  
Vol 18 (2) ◽  
pp. 253-259 ◽  
Author(s):  
Igor Miljanovic ◽  
Slobodan Vujic
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy Model ◽  
Mineral Processing ◽  
Original Model ◽  
Integrated Systems ◽  
Management Support ◽  
Mineral Industry ◽  
Fuzzy Models ◽  
The Subject

During the research on the subject of computer integrated systems for decision making and management support in mineral processing based on fuzzy logic, realized at the Department of Applied Computing and System Engineering of the Faculty of Mining and Geology, University of Belgrade, for the needs of doctoral thesis of the first author, and wider demands of the mineral industry, the incompleteness of the developed and contemporary computer integrated systems fuzzy models was noticed. The paper presents an original model with the seven staged hierarchical monitoring-management structure, in which the shortcomings of the models utilized today were eliminated.

scholarly journals Numerical Implementation of a Fuzzy Model for Evaluating the Effectiveness of Technological Innovations in the Formation of a Portfolio of Projects in an Industrial Enterprise

2019 ◽  
Vol 16 (4) ◽  
pp. 145
Author(s):  
O M Shatalova
Keyword(s):  
Decision Making ◽  
Expert Knowledge ◽  
Fuzzy Model ◽  
Industrial Enterprise ◽  
Decision Makers ◽  
Information Support ◽  
Management Decision ◽  
Technological Innovations ◽  
Numerical Implementation ◽  
Management Decision Making

A high uncertainty and fuzziness of information in the systems of development and organizations production of technological innovations are forming the need to use adequate management decision-making tools. A key condition for decisions in such systems is, as a rule, the criterion of efficiency. The paper presents the results of the numerical implementation of a methodological approach to evaluating the effectiveness of technological innovations from the standpoint of non-stochastic uncertainty. The approach is based on fuzzy calculations and fuzzy modeling. This approach is aimed at integrating deterministic, stochastic and expert knowledge of the system; it provides an expanded view of the content of the “effectiveness” category itself and the composition of relevant factors, allows you to take into account the restrictions and preferences of decision makers relevant to the system under study. The considered approach is adapted to the specifics of managing technological innovation in an industrial enterprise. The results of the development and numerical implementation of a fuzzy model for evaluating the effectiveness of technological innovations have led to the conclusion that the approach used expands (complements) the composition of the existing methods in this field of knowledge; the numerical value of the efficiency (W) obtained in the fuzzy model can be considered as an additional analytical indicator of information support of the management decision-making process; the significance of this indicator is due to the fact that the indicator W reveals strategically significant prerequisites and provides clarification (justification) of the values of the key technical and economic parameters. The fuzzy W evaluation model allows for combining deterministic and stochastic data with expert estimates and to formalize mental judgments of decision makers using language means of mathematics. Thus, the prerequisites for building an intelligent automated decision-making system in the management of innovative processes and projects in the enterprise are provided.

scholarly journals A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting

Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 126 ◽  
Author(s):  
Vlasenko ◽  
Vlasenko ◽  
Vynokurova ◽  
Bodyanskiy ◽  
Peleshko
Keyword(s):  
Decision Making ◽  
Time Series ◽  
Financial Time Series ◽  
Selection Process ◽  
Real Life ◽  
Fuzzy Model ◽  
Financial Data ◽  
Financial Time ◽  
Fuzzy Models ◽  
Neuro Fuzzy

Neuro-fuzzy models have a proven record of successful application in finance. Forecasting future values is a crucial element of successful decision making in trading. In this paper, a novel ensemble neuro-fuzzy model is proposed to overcome limitations and improve the previously successfully applied a five-layer multidimensional Gaussian neuro-fuzzy model and its learning. The proposed solution allows skipping the error-prone hyperparameters selection process and shows better accuracy results in real life financial data.

Models and algorithms for automated search and rescue management support

2020 ◽  
Vol 89 ◽  
pp. 53-64
Author(s):  
N. G. Topolsky ◽  
◽  
A. V. Mokshantsev ◽  
E. A. Meshalkin ◽  
A. I. Ovsyanik ◽  
...  
Keyword(s):  
Decision Making ◽  
Control System ◽  
Search And Rescue ◽  
Management Decision ◽  
Management Support ◽  
Automated Control ◽  
Industrial Sites ◽  
Automated Control System ◽  
Hardware Complex ◽  
Software And Hardware

Introduction. The efficiency of search and rescue operations (PSR) due to the elimination of emergencies and fires indicates the need to create a structure for an automated control system (ACS) for technological decision-making processes at natural and industrial sites in Vietnam based on a software and hardware complex (PAC) for conducting the PSR in the Socialist Republic of Vietnam (SRV). The relevance of the research is due to the need to implement modern models and algorithms for automating the management support of the PSR and the development of automated control systems for technological processes of management decision-making at natural and industrial sites in Vietnam based on the PAC management system. Goals and objectives. The aim of the work is to reduce the response time of search and rescue units using models and algorithms to support the management of search and rescue operations using an automated control system for natural objects and industrial facilities in Vietnam based on a software and hardware complex. The practicality of the work is that the use of the recommended mathematical models, algorithms and the development of an automated system for the management of technological decision-making processes in natural and industrial sites in Vietnam, based on the software and hardware set for search and rescue operations reduce the time spent in the process. Methods. Systems analysis, statistical analysis, mathematical statistics, etc., are used to solve the problems of the study. Results and discussion thereof. The results are represented by the developed models and algorithms for supporting the management of the PSR using automated control systems at natural and industrial sites in Vietnam based on the PAC for the PSR. Conclusions. The functional structure of the automated control system for technological processes of management decision-making at natural and industrial sites in Vietnam based on a software and hardware complex for search and rescue operations, which allows you to visualize the location of victims in open areas in conditions of smoke, fog, rain. Key words: models, algorithms, automation, control support, search and rescue.

Methodology for Multi-Criteria Assessment of the Efficiency of Decision-Making when Extinguishing Fires at the Objects of Oil and Gas Industry

2021 ◽  
pp. 63-69
Author(s):  
R.R. Valiev ◽  
◽  
I.F. Khafizov ◽  
F.Sh. Khafizov ◽  
A.A. Sharafutdinov ◽  
...  
Keyword(s):  
Decision Making ◽  
Support System ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Fire Fighting ◽  
Information Support ◽  
Management Decision ◽  
Decision Making Process ◽  
Fire Control ◽  
Fire Extinguishing

For successful fighting large fires, it is required to develop new and improve existing decision-making mechanisms with the objective to increase the efficiency of actions of the involved fire-fighting units. When making decisions, the fire extinguishing manager must consider the efficiency of possible solutions. Assessment of the efficiency of each possible option is predictive and depends on the system of criteria used. The decision-making process in such conditions is associated with the use of formalized multi-criteria selection procedures, which, in fact, implement multi-criteria optimization. When choosing a multi-criteria solution, the fire extinguishing manager proceeds from his subjective ideas about the importance of the tasks to be solved at each site. Therefore, it is advisable for each fire protection object to develop its own management decision support system that allows to implement multi-criteria optimization based on the preferences of the fire extinguishing manager. The chosen solution option should ensure that several goals of the fire control system are achieved at once. Methodology is considered related to multi-criteria assessment, which can be used for an objective study of the actions of personnel to extinguish a fire for using them rationally in future. The proposed multi-criteria model for making managerial decisions makes it possible to study a wide class of problems of supporting the control of the fire extinguishing process based on the results of monitoring the actions of fire-fighting units. Practical application of the theoretical results in the form of a management information support system allows reducing the subjectivity and improving the efficiency of the management decision-making process when extinguishing fires.

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