Development of Comprehensive Method for Enhance of Decision-Making Reliability at Fire Detection against Background of Dynamic Optical Interference by Electro-Optical Device of Two Spectral Ratios

2020 ◽  
Author(s):  
Alexey Yu. Sidorenko ◽  
Nadezhda Y. Tupikina ◽  
Andrey I. Kin
Keyword(s):  
Decision Making ◽  
Fire Detection ◽  
Spectral Ratios ◽  
Optical Interference ◽  
Optical Device ◽  
Comprehensive Method

scholarly journals Fire Risk Assessment in Healthcare Settings: Application of FMEA Combined with Multi‐Criteria Decision Making Methods

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Fateme Omidvari ◽  
Mehdi Jahangiri ◽  
Reza Mehryar ◽  
Moslem Alimohammadlou ◽  
Mojtaba Kamalinia
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Fire Risk ◽  
Fire Detection ◽  
Healthcare Setting ◽  
Multi Criteria Decision Making ◽  
Intuitionistic Fuzzy ◽  
Healthcare Settings ◽  
Fire Risk Assessment ◽  
Risk Parameters

Fire is one of the most dangerous phenomena causing major casualties and financial losses in hospitals and healthcare settings. In order to prevent and control the fire sources, first risk assessment should be conducted. Failure Mode and Effect Analysis (FMEA) is one of the techniques widely used for risk assessment. However, Risk Priority Number (RPN) in this technique does not take into account the weight of the risk parameters. In addition, indirect relationships between risk parameters and expert opinions are not considered in decision making in this method. The aim is to conduct fire risk assessment of healthcare setting using the application of FMEA combined with Multi‐Criteria Decision Making (MCDM) methods. First, a review of previous studies on fire risk assessment was conducted and existing rules were identified. Then, the factors influencing fire risk were classified according to FMEA criteria. In the next step, weights of fire risk criteria and subcriteria were determined using Intuitionistic Fuzzy Multiplicative Best-Worst Method (IFMBWM) and different wards of the hospital were ranked using Interval-Valued Intuitionistic Fuzzy Combinative Distance-based Assessment (IVIFCODAS) method. Finally, a case study was performed in one of the hospitals of Shiraz University of Medical Sciences. In this study, fire alarm system (0.4995), electrical equipment and installations (0.277), and flammable materials (0.1065) had the highest weight, respectively. The hospital powerhouse also had the highest fire risk, due to the lack of fire extinguishers, alarms and fire detection, facilities located in the basement floor, boilers and explosive sensitivity, insufficient access, and housekeeping. The use of MCDM methods in combination with the FMEA method assesses the risk of fire in hospitals and health centers with great accuracy.

scholarly journals Wireless Sensor Network for Ignitions Detection: An IoT approach

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 893 ◽  
Author(s):  
Thadeu Brito ◽  
Ana I. Pereira ◽  
José Lima ◽  
António Valente
Keyword(s):  
Decision Making ◽  
Fire Detection ◽  
Barometric Pressure ◽  
Wireless Sensor ◽  
Surveillance Systems ◽  
Data Simulation ◽  
Central System ◽  
Flame Ignition ◽  
Wide Scale ◽  
Point Data

Wireless Sensor Networks (WSN) can be used to acquire environmental variables useful for decision-making, such as agriculture and forestry. Installing a WSN on the forest will allow the acquisition of ecological variables of high importance on risk analysis and fire detection. The presented paper addresses two types of WSN developed modules that can be used on the forest to detect fire ignitions using LoRaWAN to establish the communication between the nodes and a central system. The collaboration between these modules generate a heterogeneous WSN; for this reason, both are designed to complement each other. The first module, the HTW, has sensors that acquire data on a wide scale in the target region, such as air temperature and humidity, solar radiation, barometric pressure, among others (can be expanded). The second, the 5FTH, has a set of sensors with point data acquisition, such as flame ignition, humidity, and temperature. To test HTW and 5FTH, a LoRaWAN communication based on the Lorix One gateway is used, demonstrating the acquisition and transmission of forest data (simulation and real cases). Even in internal or external environments, these results allow validating the developed modules. Therefore, they can assist authorities in fighting wildfire and forest surveillance systems in decision-making.

scholarly journals Study on bond selection under intuitionistic fuzzy conditions

2018 ◽  
Vol 12 (4) ◽  
pp. 376-386 ◽  
Author(s):  
Xiao-Guang Zhou ◽  
Yang-Fan Ding ◽  
Mi Lu
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Uncertain Information ◽  
Preference Relations ◽  
Intuitionistic Fuzzy ◽  
Comprehensive Method ◽  
Fuzzy Preference Relations ◽  
Network Process ◽  
Fuzzy Preference

Intuitionistic fuzzy preference relations can take membership degrees, non-membership degrees, and hesitancy degrees into account during decision making. It has good practicability and flexibility in dealing with fuzzy and uncertain information. As for analytic network process, it is performed by thinking over the interaction and feedback relationships between criteria and indices, so that an effective method is provided for multi-criteria decision making. An index system with network structure for evaluating the bonds is presented, and a comprehensive method by combining the advantages of intuitionistic fuzzy preference relations and analytic network process is proposed to select and rank the bonds. A case study is given by the proposed method as well.

scholarly journals A Multiattribute Decision-Making Framework: VIKOR Method with Complex Spherical Fuzzy N -Soft Sets

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Muhammad Akram ◽  
Maria Shabir ◽  
Arooj Adeel ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Decision Making ◽  
Industrial Development ◽  
Oil Refinery ◽  
Success Factor ◽  
Preference Order ◽  
Vikor Method ◽  
Soft Sets ◽  
Comprehensive Method ◽  
The Stability ◽  
Selection Of

In this paper, we set forth a framework for solving a multiattribute group decision-making (MAGDM) problem, namely, the selection of a firm for participation in a Saudi oil refinery project in Pakistan. This project will prove a key success factor for the economic growth of Pakistan due to its enormous economic impact on the energy sector, industrial development, commerce, transportation, and so on. This multiplicity justifies that several intricate components comprising both intrinsic and external attributes should be adequately evaluated for the selection of such a firm, that is, the formulation of this question as a MAGDM problem. Nonbinary evaluation with two-dimensional ambiguity and uncertainty in the parameters are general concerns in modern literature, and they fit into this problem. Within this context, one of the most superior and amenable theories (complex spherical fuzzy N -soft sets, henceforth C S F N S f S s ) shall be used to formulate a new comprehensive method, known as complex spherical fuzzy N -soft-VIKOR ( C S F N S f -VIKOR) method. According to the general spirit of the benchmark technique, the normalized Euclidean distances and the weights of the attributes are jointly handled, and as consequence, two main features (“maximum group utility” and “minimum individual regret”) are acquired. The coefficient strategy with reference to group utility measure and individual regret measure of opponents are employed for the compromise measure. Armed with this novel tool, we single out the most feasible firm according to the preference order of the alternatives examined by the decision-makers on the subject of linear normalized weights of experts and attributes. Furthermore, a comparative analysis justifies the C S F -VIKOR method, and some results prove its capabilities and validity. Moreover, a sensitivity test certifies the stability of the proposed method.

An Approach to Measuring Ship Design Complexity

2021 ◽  
Vol 163 (A2) ◽  
Author(s):  
A Ebrahimi ◽  
S O Erikstad ◽  
P O Brett ◽  
B E Asbjørnslett
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Ship Design ◽  
Measurement Methods ◽  
Comprehensive Model ◽  
Design Complexity ◽  
Comprehensive Method ◽  
Technological Complexity ◽  
Market Situation ◽  
Spatial Decision Making

Understanding different aspects of complexity and measuring them properly are important steps of handling ship design complexity effectively. The main objective of this article is to develop a practical and comprehensive method to measure ship design complexity. In engineering design, complexity is measured today by different indexes and methods. This paper initially explores the applicability of such measures in a ship design context supported by a review of different relevant user-cases. However, it is acknowledged that most of these measurement methods focus on product-related complexity aspects and rarely address or quantify complexities generated by the design process, the organisation of the firm, or the market situation. Therefore, this paper introduces a new and comprehensive model to measure ship design complexity including all these aspects. The model quantifies ship design complexity by means of the following nine different descriptive factors: directional, spatial, decision-making, structural, behavioral, contextual, perceptual, temporal, and technological complexity.

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