scholarly journals Optimization of Combustion Characteristics of Blended Coals Based on TOPSIS Method

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Yingchun Liu ◽  
Hao Zhang ◽  
Xiaohui Zhang ◽  
Shan Qing ◽  
Aimin Zhang ◽  
...  
Keyword(s):  
Bituminous Coal ◽  
Combustion Characteristic ◽  
Economic Costs ◽  
Topsis Method ◽  
Characteristic Index ◽  
Advantages And Disadvantages ◽  
Order Preference ◽  
Blended Coals ◽  
Mixing Schemes ◽  
Optimal Mixing

The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is used to find optimal mixing scheme of Zhaotong lignite, Fuyuan bituminous coal, and Xiaolongtan lignite in terms of combustion performance. Comparative evaluation of different mixing schemes is also conducted, where the flammability index, comprehensive combustion characteristic index, burnout temperature, and economic costs can be used to measure the advantages and disadvantages of different mixing schemes with different parameters. Through analysis and optimization, it is found that when the lignite of Xiaolongtan, lignite of Zhaotong, and bituminous coal of Fuyuan are mixed with a ratio 2 : 1 : 2, the mixed coal has the best performance; when the lignite of Xiaolongtan, lignite of Zhaotong, and bituminous coal of Fuyuan are mixed with a ratio 0 : 2 : 1, the mixed coal has the worst performance.

Combustion characteristics of biomass and bituminous coal co-firing in non-isothermal and isothermal conditions

BioResources ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. 9490-9506
Author(s):  
Meijing Chen ◽  
Baojun Yi ◽  
Zhigang Li ◽  
Qiaxia Yuan
Keyword(s):  
Bituminous Coal ◽  
Reaction Model ◽  
Combustion Characteristic ◽  
Thermogravimetric Method ◽  
Characteristic Index ◽  
Isothermal Conditions ◽  
Diffusion Controlled ◽  
Chemical Reaction Model ◽  
Stage 1 ◽  
Model Diffusion

A thermogravimetric method was used to study the combustion of bituminous coal (BC), diverse biomass (wood chips: WC, chaff: CH), and their blends under non-isothermal conditions and isothermal conditions. A higher blending amount of WC or CH under non-isothermal conditions resulted in a lower ignition temperature, burnout temperature, and a greater comprehensive combustion characteristic index. Meanwhile, the co-combustion of BC, WC, and CH all showed inhibiting effects. The inhibition effect was prominent when the blending ratio of WC was below 30%. Under isothermal conditions, with the increase of oxygen concentration and blending amount, the combustion performance of BC improved gradually. The synergistic effect between BC and biomass dominated, and the interaction was more distinct when WC content exceeded 50%. Under both non-isothermal and isothermal conditions, the interaction between CH and BC did not vary at diverse blending ratios. The dynamic results suggested that the chemical reaction model O1 was suitable for stage 1 of the co-combustion of WC and BC, the model diffusion controlled D4 controlled the co-combustion of CH and BC and stage 2 of the co-combustion of WC and BC. The blending ratio of WC or CH with the lowest activation energy was 50%.

scholarly journals Fuzzy Topsis in the Assessment of OHS Management System

2019 ◽  
Vol 1 (1) ◽  
pp. 18-25
Author(s):  
Joanna Tabor
Keyword(s):  
Health And Safety ◽  
Fuzzy Topsis ◽  
Point Of View ◽  
Assessment Criteria ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Topsis Method ◽  
Furniture Manufacturing ◽  
Order Preference ◽  
Topsis Technique

AbstractOccupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001: 2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.

scholarly journals A New Comprehensive Approach for Efficient Road Vehicle Procurement Using Hybrid DANP-TOPSIS Method

2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Technical Aspect ◽  
Selling Price ◽  
Topsis Method ◽  
Environmental Decision Making ◽  
Network Process ◽  
Order Preference ◽  
Vehicle Fleet ◽  
Selection Of

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.

A dynamic weighted TOPSIS method for identifying influential nodes in complex networks

2018 ◽  
Vol 32 (19) ◽  
pp. 1850216 ◽  
Author(s):  
Pingle Yang ◽  
Xin Liu ◽  
Guiqiong Xu
Keyword(s):  
Complex Networks ◽  
Centrality Measures ◽  
Topsis Method ◽  
Decision Making Problem ◽  
Significant Research ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Influential Nodes ◽  
Influential Node ◽  
Grey Relational

Identifying the influential nodes in complex networks is a challenging and significant research topic. Though various centrality measures of complex networks have been developed for addressing the problem, they all have some disadvantages and limitations. To make use of the advantages of different centrality measures, one can regard influential node identification as a multi-attribute decision-making problem. In this paper, a dynamic weighted Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is developed. The key idea is to assign the appropriate weight to each attribute dynamically, based on the grey relational analysis method and the Susceptible–Infected–Recovered (SIR) model. The effectiveness of the proposed method is demonstrated by applications to three actual networks, which indicates that our method has better performance than single indicator methods and the original weighted TOPSIS method.

scholarly journals TOPSIS Method Based on Complex Spherical Fuzzy Sets with Bonferroni Mean Operators

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1739
Author(s):  
Zeeshan Ali ◽  
Tahir Mahmood ◽  
Miin-Shen Yang
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Unit Interval ◽  
Polar Coordinates ◽  
Topsis Method ◽  
Bonferroni Mean ◽  
Operational Laws ◽  
Special Cases ◽  
Order Preference ◽  
Multi Attribute Decision Making

The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, i.e., complex fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable information in realistic decision-making situations. CSFSs contain three grades in the form of polar coordinates, e.g., truth, abstinence, and falsity, belonging to a unit disc in a complex plane, with a condition that the sum of squares of the real part of the truth, abstinence, and falsity grades is not exceeded by a unit interval. In this paper, we first consider some properties and their operational laws of CSFSs. Additionally, based on CSFSs, the complex spherical fuzzy Bonferroni mean (CSFBM) and complex spherical fuzzy weighted Bonferroni mean (CSFWBM) operators are proposed. The special cases of the proposed operators are also discussed. A multi-attribute decision making (MADM) problem was chosen to be resolved based on the proposed CSFBM and CSFWBM operators. We then propose the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method based on CSFSs (CSFS-TOPSIS). An application example is given to delineate the proposed methods and a close examination is undertaken. The advantages and comparative analysis of the proposed approaches are also presented.

PERMAFROST SOILS THAWING UNDER BUILDINGS IN NORILSK

2018 ◽  
Vol 8 (2) ◽  
pp. 65-70
Author(s):  
Svetlana S. POROSHINA
Keyword(s):  
Economic Costs ◽  
Mass Destruction ◽  
Advantages And Disadvantages ◽  
Permafrost Soils ◽  
The Given ◽  
The City

The experience of the construction of buildings on permafrost in the city of Norilsk is considered, the main methods of construction under the given conditions are indicated, their advantages and disadvantages are revealed. The study of the localization of deformations in the building, the nature of the deformations shows their consequences. It is revealed that the main cause of mass destruction of buildings is the fi ssion of the soil under the building. The main possible causes of this process are indicated. The economic costs associated with the elimination of the consequences of destruction caused by the ground-breaking have been analyzed, and methods for solving this problem have been proposed.

SIGNED DISTANCED-BASED TOPSIS METHOD FOR MULTIPLE CRITERIA DECISION ANALYSIS BASED ON GENERALIZED INTERVAL-VALUED FUZZY NUMBERS

2011 ◽  
Vol 10 (06) ◽  
pp. 1131-1159 ◽  
Author(s):  
TING-YU CHEN
Keyword(s):  
Decision Analysis ◽  
Supplier Selection ◽  
Fuzzy Numbers ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Multiple Criteria Decision Analysis ◽  
Topsis Method ◽  
Order Preference ◽  
Priority Order ◽  
Interval Valued

The theory of interval valued fuzzy sets is very valuable for modeling impressions of decision makers. In addition, it gives ability to quantify the ambiguous nature of subjective judgments in an easy way. In this paper, by extending the technique for order preference by similarity to ideal solution (TOPSIS), it is proposed a useful method based on generalized interval valued trapezoidal fuzzy numbers (GITrFNs) for solving multiple criteria decision analysis (MCDA) problems. In view of complexity in handling sophisticated data of GITrFNs, this paper employs the concept of signed distances to establish a simple and effective MCDA method based on the main structure of TOPSIS. An algorithm based on TOPSIS method is established to determine the priority order of given alternatives by using properties of signed distances. Finally, the feasibility of the proposed method is illustrated by a practical example of supplier selection.

Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method

2014 ◽  
Vol 615 ◽  
pp. 286-289
Author(s):  
Jia Ping Tian ◽  
Su Na Cao ◽  
Jia Xing Du ◽  
Ping Chen ◽  
Huan Zhan
Keyword(s):  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Evaluation Parameters

A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

scholarly journals APPLICATION OF TOPSIS METHOD IN PRIORITIZATION OF HIGHWAY BRIDGES FOR SEISMIC RETROFITTING

2014 ◽  
Vol 6 (3) ◽  
pp. 114-123 ◽  
Author(s):  
Ali Yousefi ◽  
Mohd Sanusi S. Ahamad ◽  
Taksiah A. Majid
Keyword(s):  
Decision Making ◽  
Highway Bridges ◽  
Seismic Retrofitting ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Highway Network ◽  
Order Preference ◽  
Multiple Alternative ◽  
Topsis Technique ◽  
Alternative Routes

The process of bridges seismic retrofitting in the highway network is extremely costly and time consuming. In addition, the constraint on resources prevents the retrofitting of all the bridges at the same time. Besides, the bridges must be prioritized with simultaneous consideration of multiple criteria, including technical and socioeconomic aspect. This study intends to identify the major criteria and consider them simultaneously for prioritization of highway bridges additionally provides an effective technique for weighing these criteria. In this research, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method as a Multi-Criteria Decision-Making (MCDM) model is applied. TOPSIS method enables decision makers to deal with problems involving a large number of alternatives (bridges) and criteria. This methodology reduces multiple alternative (bridge) performances into a single value (ranking score) to facilitate the decision-making process for determination of the most suitable bridges for retrofitting. Suggested criteria include structural vulnerability, seismic hazard, anticipated service life, average daily traffic, interface with other lifelines, alternative routes and bridge importance. Moreover, relative importance (weight) of the criteria is assigned using Analytic Hierarchy Process (AHP) technique. The proposed method is applied to a real case of the Isfahan highway network.

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