VlseKriterijumska Optimizacija I Kompromisno Resenje In Serbian Research Articles

A novel threat assessment method for maritime defense integrating improved IT2FBWM, prospect theory and VIKOR under hybrid fuzzy environment

The weaponized unmanned aerial vehicle (UAV) swarms have posed a significant threat to maritime civilian and military installations. For effective defense deployment, threat assessment has become a critical part of maritime defense decision-making. However, due to the uncertainty of threat information and the ignorance of decision-makers’ psychological behaviors, there are great challenges in obtaining a reliable and accurate threat assessment result to assist in maritime defense decision-making. To this end, this paper proposes an integrated threat assessment method for maritime defense against UAV swarms based on improved interval type-2 fuzzy best-worst method (IT2FBWM), prospect theory and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje, in Serbian). Firstly, the improved IT2FBWM is designed by introducing interval type-2 fuzzy set (IT2FS) and entropy-based information to obtain attribute weights with high reliability. Then, the hybrid fuzzy scheme covering IT2FS and interval number is constructed to express the uncertainty of different types of threat information. Next, VIKOR is extended to hybrid fuzzy environment and combined with prospect theory to consider the influence of psychological behaviors of decision-makers. Finally, the improved IT2FBWM and extended VIKOR are integrated to determine the threat ranking of targets and the priority defense targets. A case study of maritime threat assessment is provided to illustrate the performance of the proposed method. Moreover, sensitivity and comparative experiments were conducted, and the results indicate that the proposed method not only obtain the reliable threat assessment result but also outperforms the other methods in terms of attribute weight determination, decision preference consideration and decision mechanism.

Optimization of Process Parameters in Abrasive Water Jet Machining of Inconel 718 Using VIKOR Method

In this work, an attempt was made to identify the optimized parameter combination in abrasive jet machining of Inconel 718 alloy. Experiments were conducted based on L9 Taguchi array. Pressure, standoff distance and abrasive flow rate were considered as input parameters. M18 standard washer of 20 mm inner diameter and 34 mm outer diameter was made on a sheet of thickness 2 mm. The qualities of the washer were measured with respect to roundness, taper angle, material removal rate and surface roughness. Improved compromise ranking method also known as VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) method was used in this work to identify the optimized parameter combinations. Experiment number 7 with 180 MPa pressure, 0.42 kg/min abrasive flow rate and 2 mm standoff distance was identified as the best parameter combination.

Investigation into gate dielectric material using different optimization techniques in carbon nanotube field effect transistors

This paper presents an analysis of gate dielectric materials using different optimization techniques for carbon nanotube field effect transistors. The selection of the best gate dielectric is done using multi-criteria decision-making methods, i.e. Ashby’s, TOPSIS (technique for order preference by similarity to ideal solution) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian). The selection criteria for the best dielectric material are based on various material indices which include relative dielectric constant (εr), energy band gap (Eg), conduction band offset and coefficient of thermal expansion. This analysis concludes that lanthanum oxide (La2O3) is the most promising dielectric material, followed by HfO2. All these material selection methodologies converge on the same results. This result is compared with the experimental findings, and the close match between analytical and experimental results confirms the validity of this study.

A decision-making framework for evaluating enterprise resource planning systems in a high-tech industry

ABSTRACTIn recent years, the adoption of enterprise resource planning (ERP) is becoming essential for achieving fast and transparent information exchange, avoiding unnecessary waste and maintaining coordination within a firm and among partners in a supply chain. However, the implementation of an ERP system often fails, and one major reason is that the selected ERP system is not suitable for the firm. Therefore, a good evaluation framework for selecting the most appropriate ERP system is necessary. This study proposes a framework, which integrates decision-making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) and fuzzy set theory, for the evaluation of ERP systems. First, the fuzzy DEMATEL is used to understand the direct and indirect relationships among the criteria. Second, the fuzzy ANP is adopted to calculate the importance weights of the sub-criteria. Finally, the most appropriate ERP system is obtained by the fuzzy VIKOR. The proposed decision-making framework is applied to a firm in the high-tech industry in selecting the most appropriate ERP system. The results show that the proposed framework can help firms evaluate ERP systems effectively by collecting experts’ opinions in an uncertain environment.

A hesitant fuzzy extension of VIKOR method for evaluation and selection problems under uncertainty

In complex real-world problems, hesitant fuzzy sets could help experts or decision makers (DMs) when they are hesitant among several performance values and can express their judgments as a set of possible values for an element between zero and one. In this respect, the main purpose of this paper is to present hesitant fuzzy information to develop the vlsekriterijumska optimizacija i kompromisno resenje in serbian (VIKOR) method, namely HF-VIKOR by utilising the weights of decision makers and distance measure along with proposing a new index for the ranking process of compromise solution procedure. The hesitant fuzzy hamming distance measure is applied to compute the utility measure and regret measure; also, hesitant fuzzy Euclidean distance measure is used to compute the proposed new index for the evaluation of alternatives by considering risk preferences of DMs. Moreover, two application examples about new product selection and energy policy selection problems under uncertainty are presented to indicate the suitability of the proposed HF-VIKOR method, and then it is compared with the recent methods from the literature. Finally, sensitivity analysis is considered to indicate effects of the DMs' weights on preference order ranking.

Optimization of mass deposition and surface roughness for ternary Ni-Cu-P electroless coating using VIKOR method

Electroless Ni–Cu–P coating was synthesised on pure Copper (99.9%) substrate in an alkaline media. The present study deals with the analysis of the variation of ‘Average Mass Deposited per unit Area’ and ‘Surface Roughness (Ra)’ with three parameters namely Ni-ion concentration, Cu-ion and reducing agent concentration of the chemical bath. VIKOR (VlseKriterijumskaOptimizacija I KompromisnoResenje;in Serbian) has been considered here as Multi Criteria Decision Making (MCDM) method to optimise the input parameters. The deposited mass per unit area (gm cm−2) and Surface Roughness (μm) are considered as response variables for the statistical analysis and optimization technique; whereas Ni-ion concentration, Cu-ion concentration and reducing agent concentration in the chemical bath are considered as different variable input process parameters. The results of the experiments are obtained and using the VIKOR method, compromise ranking of the different parametric values is obtained and an optimum combination of the parameters is suggested. The weightages of the different criterion has been calculated by Analytical Hierarchy Process. Therefore, the present study gives optimised input parameters for two conflicting output responses with the use of Multi Criteria Decision Making VIKOR.

A comparative analysis of fuzzy-based AHP derived MCDM methods to select the apt heterogeneous wireless network

The selection of the most appropriate network in heterogeneous wireless environment is one of the critical issues to provide the best quality of service (QOS) to the users. The selection of an apt network among various alternatives is a kind of multi criteria decision making (MCDM) problem. The aim of this paper is to describe the applications of three MCDM methods for solving the network selection problem. Fuzzy analytic hierarchy process (FAHP)- VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR), FAHP-technique for order preference by similarity to ideal solution (TOPSIS) and FAHP-preference ranking organisation method for enrichment evaluation (PROMETHEE) are proposed to choose the best network among the various network alternatives. The ranking performance of various MCDM methods is also compared with each other. This study comprises five alternatives such as wireless local area network (WLAN), general packet radio service (GPRS), universal mobile telecommunication (UMTS), code-division multiple-access (CDMA), worldwide interoperability for microwave access (WIMAX) and ten evaluation criteria namely bandwidth, latency, jitter, throughput, bit error rate, packet loss, re-transmission, cost, security and preference to select the appropriate network.

Selection of a suitable multiresponse optimization technique for turning operation

The present work deals with the comparison of four multi response optimization methods, viz. multiple response signal-to-noise (MRSN) ratio, weighted signal-to-noise (WSN) ratio, Grey relational analysis (GRA), and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian) methods taking a case study in turning mild steel specimen using HSS cutting tool. The various factors like cutting speed, feed rate, depth of cut and coolant flow rate are considered as the input process variables, while the material removal rate (MRR), surface roughness (SR) and specific energy consumption (SEC) are considered as various performance characteristics. One set of experimental data is analyzed using the standardized procedures. The optimization performances of these four methods are compared. The results show that MRSN ratio method proves to be the best optimization method. It is found that the feed rate has a highest impact on the overall performance as compared to other process parameters.

Investigation on material selection for gate dielectric in nanocrystalline silicon (nc-Si) top-gated thin film transistor (TFT) using Ashby’s, VIKOR and TOPSIS

In this paper, various possible materials for the gate dielectric of nc-Si top-gated thin film transistor (TFT) and their material properties like dielectric constant, bandgap, conduction band offset and interface trap density are taken into consideration and Ashby’s, VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) and Technique for order preference by similarity to ideal solution (TOPSIS) approaches are applied to select the most suitable gate dielectric material. The analysis results suggest that Si3N4 is the most suitable gate dielectric material for the better performance of nc-Si top-gated TFT. The results shows good agreement between Ashby’s, VIKOR and TOPSIS approaches.

APPLYING FUZZY MCDM FOR FINANCIAL PERFORMANCE EVALUATION OF IRANIAN COMPANIES

Financial performance evaluation is very important in a highly competitive business environment. Accordingly, an accurate and appropriate performance evaluation is critical. Financial performance indicators reflect the competitiveness of a company and they must be carefully identified in the evaluation process. Generally, accounting measures are used for performance evaluation. However, these measures are not sufficient for performance evaluation in the today’s competitive economy. Therefore, value based measures have recently been introduced to express the company value. In this study, a hybrid approach is proposed for financial performance evaluation of automotive companies of Tehran stock exchange (TSE). For this purpose, a hierarchical financial performance evaluation model is structured based on the accounting measures and economic value measures. In this approach Fuzzy Analytic Hierarchy Process (FAHP) is applied to determine weights of criteria. Then the companies are ranked by using Fuzzy VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje (in Serbian), Fuzzy Additive Ratio Assessment (ARAS-F) and Fuzzy Complex Proportional Assessment (Fuzzy COPRAS), simultaneously. Also results of three outranking methods are combined by using the mean ranks. The results represented the highest importance of economic value measures than accounting measures in financial performance evaluation of companies. Six companies were ranked applying the proposed approach.

Soft computing based on a fuzzy grey group compromise solution approach with an application to the selection problem of material handling equipment

The aim of this article is to present a new fuzzy grey multi-criteria decision-making method to handle evaluation and selection problems by a group of decision-makers under the condition of uncertain information. By a combination of the concept of compromise solution and grey relational model, a new multi-criteria analysis is developed for real-life situations. Linguistic terms characterised by trapezoidal fuzzy numbers are first utilised to provide weights of selected criteria and to denote the performance rating of alternatives with respect to the conflicting criteria. Then, a grey relational analysis is introduced to investigate the extent of connections between two alternatives by the use of an effective fuzzy distance measurement under the group decision-making process. Finally, a new ranking index is extended to obtain a compromise solution and to determine the best alternative in order to solve complex decision problems. The proposed fuzzy grey group compromise ranking method helps the decision-makers to evaluate the gaps that have not been reduced or improved for the alternatives under uncertainty in order to have the great benefit. Moreover, a practical example is used for decision-making in a selection problem of the material handling equipment to show the feasibility and applicability of the proposed ranking process. A comparative analysis of the proposed method and the combined VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian) method under uncertainty from the recent literature is presented in a manufacturing environment.

Supplier selection by F-compromise method: a case study of cement industry of NE India

In this paper, we initially conducted a brief review of supplier selection methods to find most cited multi-criteria decision making method, present trend of supplier selection and most cited criteria for supplier selection. Our study reveals that irrespective of several limitations of analytic hierarchy process (AHP), AHP and its integrated model is most preferred supplier selection method. Present research trend of supplier selection gives more emphasises on multiple sourcing instead of single sourcing. Based on our initial study, a suitable integrated model is proposed. In this integrated model, fuzzy analytic hierarchy process (FAHP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje; in Serbian) is used to select suppliers from a predefined supplier base. Multi-objective genetic algorithm (MOGA) is used further to allocate order among suppliers. Finally, a case study is discussed to use proposed method.

Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.

Application of Hybrid VIKOR Model in Selection of Maintenance Strategy

This paper focuses on the use of Fuzzy Analytic Hierarchy Process (FAHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) to select an optimum maintenance strategy for a textile industry. In the proposed methodology, first the weight of each criterion is calculated by using improved AHP with fuzzy set theory to overcome the problems of unbalanced scale of judgments, uncertainty and imprecision in the pair-wise comparison process and then the VIKOR method is applied to compensate the imprecise ranking of the AHP in the selection of maintenance strategy. The real case study is conducted for a textile industry to illustrate the utilization of the proposed model for the maintenance strategy selection problem. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to make sure that the result of the proposed model can be acceptable. A sensitivity analysis is also conducted to show the validity of the proposed model. The paper gives an insight into multi criteria decision-making (MCDM) techniques to select an optimum maintenance strategy for a process industry using a case study.Request access from your librarian to read this article's full text.

A study on the performance of some multi-response optimisation methods for WEDM processes

Wire electrical discharge machining (WEDM) processes are having several performance measures which are affected by different process parameters. In the recent past, researchers have attempted several systematic procedures for optimising the multiple responses of WEDM processes. However, most of these approaches use complex statistical/mathematical tools and are, therefore, impractical for application by the engineers who may not have a strong background in mathematics. Only a few methods, e.g., grey relational analysis and multiple response signal-to-noise ratio approaches use relatively simpler computational procedures. On the other hand, the computational procedures for the weighted signal-to-noise (WSN) ratio and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian) methods are also quite simpler and, therefore, can easily be implemented by the engineers. However, an engineer needs to select the method that can give the best optimisation performance for the process. In this paper, the computational requirements for these four multi-response optimisation methods are standardised. Two sets of experimental data on WEDM processes are analysed using these standardised multi-response optimisation methods, and their relative performances are then compared. The results show that no method can lead to better optimisation than the WSN ratio method.

Comparison of performances of five prospective approaches for the multi-response optimization

The Taguchi method of experimental design is widely used for optimization of process performance. However, this method has been developed to optimize single-response processes. But, in many situations, the engineers are required to determine the process settings that can simultaneously optimize multiple responses. In the recent past, researchers have proposed several systematic procedures for multi-response optimization. Most of these methods use complicated statistical/mathematical models and are, therefore, not easily comprehendible to the engineers who do not have a strong background in mathematics. Only a few methods, e.g. weighted signal-to-noise (WSN) ratio, Grey relational analysis, multiple-response signal-to-noise ratio, VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian), and weighted principal component methods, use relatively simpler procedures. In this paper, the computational procedures for these five methods are standardized. Three sets of experimental data are analyzed using these standardized procedures and the predicted optimization performances of the five methods are compared. The results show that no method can give better optimization than the WSN method.