COPRAS Method Research Articles

Multi-Attribute Decision-Making Method Based Distance and COPRAS Method with Probabilistic Hesitant Fuzzy Environment

Multi-Attribute Decision-Making Method Based Distance and COPRAS Method with Probabilistic Hesitant Fuzzy Environment

Waste-to-energy technologies' technological and economic viability for investment in India: A COPRAS Method

In the Vellore District of Tamil Nadu State, small-scale power generation has recently been recognised as a feasible option for energy access because to unprofitable phase extension in remote rural areas (India). Possibility of creating an Integrated Renewable Energy System to satisfy the electricity and cooking needs of rural hamlets (IRES). Techno-Economic Research on This article conducts Technologies for converting waste into energy (WtE) has been acknowledged as one solution to India's persistent problem with unannounced power outages and load shedding. Which of the four potential WtE technologies—pyrolysis, gasification, plasma arc gasification, and anaerobic digestion—will have the highest techno-economic return on investment? MCDA, or multi-criteria decision analysis, is employed in the current study. The four solutions were assessed using 10 chosen techno-economic criteria by five academic and business professionals. According to the current analysis, gasification, also known as anaerobic digestion, is the third most practical WtE technology for investment in India after pyrolysis and plasma arc gasification. The annual energy production and initial investment are, respectively, the most important technical and economic factors. In this paper, based on COPRAS set theory It is suggested to use a multi-criteria decision-making (MCDM) paradigm. Alternative processes include anaerobic digestion, pyrolysis, gasification, and plasma arc gasification. Net present value, internal rate of return, and Transformative capacity, generational capacity, Annual Energy Generation, Initial Investment, Operations and Maintenance, balanced energy expenditure, repayment period, and Cost of Electricity is taken for evaluations parameters. As a result the Remanufacturing is in 1st rank and Refurbishing are last rank. The results of sensitivity analysis are more robust, Showing stability and consistency. According to the present analysis, Anaerobic digestion and gasification should be integrated rather than used separately, Because it balances well as a WtE technology. The results of this study will help potential WtE technology investors in India make decisions.

Grade classification of bio-based lube oil by multi-attribute decision making methods

Abstract An appropriate selection of bio-based lubricants for metal cutting applications in a manufacturing process is a very significant and challenging task due to enormous varieties and properties. The objective of this work is to select appropriate bio-based lube oil intended for a metal cutting operation such as tapping of hard materials. In this work, fourteen vegetable-based oils as alternatives and their nine relevant characteristics such as oxidation stability, anti-wear scar diameter, viscosity index, pour point, flash point, coefficient of friction, extreme pressure properties, availability and cost have been considered for assessment. A logical method to select suitable vegetable-based oil using multi-attribute decision making (MADM) methods such as AHP, COPRAS and WASPAS are proposed in this paper. AHP is implied for the assessment of the relative significant weights of the attributes. The ranking of the alternatives was subsequently examined after calculating the utility degree in the COPRAS method. It has been found that Coconut oil shows highest utility degree i.e., more than 95%, followed by Palm oil 87.94% and Jatropha oil 70.72%. Also, the ranking was confirmed by using WASPAS comparative tool. Based on the results of these two methods, it was observed that palm oil, coconut oil and Jatropha oil could be the best suitable lube oil for tapping operation. Tribological evaluation of these lube oils has been suggested using an appropriate set of additives.

Selection and Experimentation of the Best Hybrid Green Composite Using Advanced MCDM Methods for Clean Sustainable Energy Recovery: A Novel Approach

Relevant and appropriate selection of best hybrid material is a challenging task for the recent industries. The mandatory criterion is to deal with the enhanced productivity with minimum cost. Therefore, this paper highlights on the comparative study between the advanced multi-criteria approaches namely ARAS, MABAC, COPRAS and MOOSRA methods for the selection of the best hybrid composite material using aluminum (Al) as base material varying different reinforcement weights and recycling with various industrial wastes by stir casting. Al/WCE gives superior tribomechanical properties at lower cost than any other reinforcements. These advanced MCDM methods are applied, based on the properties and attributes of the hybrid composites, to compare between the computational and experimental results. The results exactly corroborate with the previous research results, which authenticate the expediency of these methods during the solving of complex hybrid material selection problems for sustainable energy recovery. Out of 48 different samples, A30 is obtained to be the best sample by ARAS approach (rank 1) which is Al+Al2O3 at 12.5%wt. addition. A24 is ranked 2 which is heat treated 12.5%wt. WCE. But the same A30 is obtained to be rank 5 and A24 is obtained to be rank 1 by MABAC method, A30 is obtained to be rank 2 and A24 to be rank 1 by COPRAS method, and A30 is calculated to be rank 1 and A24 to be rank 11 by MOOSRA method. A24 is also obtained to be the best hybrid composite as per the experimentation. This paper also aims for proper recovering of environmental friendly renewable energy for the society by fabricating the best hybrid green composite for sustainable development.

Evaluation of critical path of construction projects by using the new BWABAC method under uncertainty

The project’s scheduling and planning project is a crucial factor in achieving success. In order to better scheduling and planning, critical path method (CPM) is extended by adding some efficient criteria to the old CPM. In this paper, to determine the critical path of projects by useful criteria, a new MCDM method named BWABAC is proposed. For determining the weight of important criteria, the best-worst method (BWM) is applied. Furthermore, the multi-attributive border approximation area comparisons (MABAC) procedure is used to rank all paths of project network. Finally, the new MCDM method is extended under type-2 fuzzy sets (T2FSs) to tackle the uncertainty. T2FSs are much stronger tool than classic fuzzy sets because the membership grade of T2FSs is a classic fuzzy set. Moreover, the BWABAC method is compared with the COPRAS method to drown the validity. Eventually, an illustrative example is solved to display the strengths of BWABAC method.

Inter-basin water transfer planning with grey COPRAS and fuzzy COPRAS techniques: A case study in Iranian Central Plateau

To overcome water scarcity and increasing water demands, achieving economic and social development, and to make regional equilibrium especially in countries with climate variations such as Iran, the inter-basin water transfer is considered as one of the crisis reduction methods. In this study, the COPRAS method, which is one of the new MCDM methods, is used for the first time to evaluate inter-basin water transfer projects in three configurations of integer, fuzzy, and grey (intervals). For this purpose, eight inter-basin water transfer scenarios from the Great Karoon Basin to the Central Iranian Plateau, are determined with the aim of overcoming drinking water scarcity. They are assessed by four important and practical criteria for inter-basin water transfer, including technical risks and the difficulty of execution, political and social problems, environmental problems, and cost per cubic meter of water according to the UNESCO standards. The weights of the criteria were obtained using three methods of AHP, DEMATEL, and Shannon entropy in the integer, fuzzy, and grey ways. Then, scenarios were prioritized using the COPRAS method. Finally, the results were ranked using the Borda count method, which is a method to aggregate the different ranking models. In this study, the results showed that among the criteria, technical risks, and then the cost per cubic meter of water are the essential criteria, respectively. Considering all ranking methods shows that among the scenarios, the eighth scenario, including water transfer from Behesht-Abad basin to Isfahan province and from Kharsan basin to Yazd and Kerman provinces, is superior to the other scenarios. Final COPRAS value of this scenario varies between 0.155 and 0.194 depending on the applied ranking method, and its total Borda score is 63. The findings of this study can help the decision-makers to evaluate the inter-basin water transfer projects in uncertain conditions.

Performance Evaluation of Private Pension Companies Operating in Turkey by Entropy and COPRAS Method

Bireysel emeklilik sistemi Türkiye’de gönüllülük esasına dayanan, katılımcıları uzun vadeli araçlara yönlendirerek yaşlılıktaki gelirlerini garanti altına almayı amaçlayan ve sosyal güvenlik sisteminin finansal yükünü azaltarak sosyal katılımcıların yaşam kalitesinin artmasını hedefleyen bir sistemdir. Bu çalışmada 2018 yılı verileri kullanılarak Türkiye’de faaliyet gösteren 17 bireysel emeklilik şirketinin performansı katılımcı sayısı, katılımcı fon tutarı, katkı payı tutarı, devlet katkısı fon tutarı ve emeklilik teknik gider kriterleri ele alınarak Entropi ve COPRAS yöntemiyle analiz edilmiştir. Analiz sonucunda katılımcı fon tutarı kriteri en yüksek önem derecesine sahip kriter olarak belirlenmiştir.

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

Multi-attribute group decision-making using double hierarchy hesitant fuzzy linguistic preference information

Double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is one of the successful extensions of the hesitant fuzzy linguistic term set used for describing the uncertain information in a more prominent manner for solving the group decision-making problems. In DHHFLTS, the membership functions are represented in terms of linguistic membership degrees which are a flexible structure for preference elicitation and enrich the ability for rational decision-making with complex linguistic expressions. Driven by the flexibility of DHHFLTS, in this paper, a new decision framework is developed for solving decision-making problems, which provides scientific and rational decisions based on the preference information. For it, initially, a new aggregation operator is proposed for aggregating decision-makers’ preferences. Later, the importance of the attribute weights in the problems is determined by formulating a mathematical model and the COPRAS method is extended to the DHHFLTS context for prioritizing alternatives. The applicability of the presented approach is demonstrated through a numeric example related to green supplier selection. A comparative analysis with existing studies is also administered to test the effectiveness and verify the method.

VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live

The best and worst places to live have been analysed in the world for many years and multiple criteria analysis has been used for that purpose. The quality of housing and its environment, pollution, green places, public spaces, physical movement and health, crime rates and individual safety, the wellbeing of youngsters, unemployment, job value, economic scarcity, governance, circadian rhythm, weekly rhythm and other factors are the focus of such analyses that aim to determine levels of positive emotions and happiness in built environment. Questionnaires are the most common tool for such analyses, where inhabitants are asked to rank their happiness experience as a whole in built environment. Many studies demonstrate that happy people are effective in multiple areas of their life including job efficiency, salary, health, human relations, etc. The innovative aspect of this research stems from the fact that biometric technologies (affective attitudes, emotional and physiological states) and the VINERS method developed by the authors are used to determine the best places to live and to serve neuro ads of homes for sale. To do this, rational segments of homebuyers are determined according to their demographic profiles (age, gender, education, marital status, families with children, main source of income), consumer psychographics and behaviour (happy, sad and angry along with valence and heart rate) and then select a rational video ad for such rational segment. The aim of our research is to develop the VINERS Method for the Multiple Criteria Analysis and Neuromarketing of Best Places to Live (VINERS method) by combining the Somatic Marker Hypothesis, biometrics, neuromarketing and COPRAS method. This article presents a case study to demonstrate the VINERS method put to practice.

Determination of Fuel Type for Optimal Performance and Emission in a CI Engine Used Biodiesel and its Blends via Multi-Criteria Decision Making

In this study, fuel type which provides optimum engine performance and exhaust emission for a compression ignition (CI) engine used alternative fuel was determined by COPRAS in multi criteria decision making (MCDM), and it was ranked from good to bad. Furthermore, the engine performance and exhaust emission results obtained from the use of fuels are discussed. In the experiments, pure biodiesel, diesel and biodiesel/diesel blend fuels at ratio of 5, 20 and 50% by volume were used as alternative fuel. The performance and exhaust emission characteristics of the engine have been obtained in the tests performed at constant load (7.2 kW) and engine speed (1500 rpm). According to experimental results, with the increase of the biodiesel ratio in the mixture fuel, it has been observed that while the specific fuel consumption is increased compared to diesel, the thermal efficiency is partially reduced. At the same time, the hydrocarbon (HC), carbon monoxide (CO) and nitrogen oxide (NOx) emissions decreased while the carbon dioxide (CO2) emission increased. According to COPRAS method, the ranking of fuels from best to worst was calculated as B5>B20>B50>B0>B100.

An integrated solution with SWARA&COPRAS methods in renewable energy production: City selection for biogas facility

In today's world, where the demand for energy has increased and the supply/demand balance for energy has become increasingly difficult, the role of renewable energy is quite important. One of the most important sources of renewable energy in the world is the biogas, which offers great contributions to prevent environmental pollution and ensure ecological balance. Because Turkey has the necessary resources for the production of biogas, it is a popular country for the establishment of biogas production facility, which has a great importance from renewable energy sources. The aim of this study is appropriate city selection for a new biogas facility which will be an alternative to already existing biogas production facilities in Turkey. The study focuses on the identification of renewable energy potentials by evaluating 3 cities with rich and diverse characteristics in terms of biomass quantity. In this paper, a model with 12 criteria which affects the evaluation of the alternatives is proposed for selecting the suitable city in Turkey for biogas production with proposed solution method. In proposed methodology, the SWARA method, which uses the ranking of each decision maker, is used in the first phase of the solution in which the importance weights of the criteria in the model are determined. After obtaining criteria weights with SWARA method, for selecting appropriate city to establish a biogas facility, COPRAS method is used that is a one of multi criteria decision making method. The proposed model is showed by an illustrative example and the results are explained.

A Scientific Decision Framework for Cloud Vendor Prioritization under Probabilistic Linguistic Term Set Context with Unknown/Partial Weight Information

With the tremendous growth of Cloud Vendors, Cloud vendor (CV) prioritization is a complex decision-making problem. Previous studies on CV selection use functional and non-functional attributes, but do not have an apt structure for managing uncertainty in preferences. Motivated by this challenge, in this paper, a scientific framework for prioritization of CVs is proposed, which will help organizations to make decisions on service usage. Probabilistic linguistic term set (PLTS) is adopted as a structure for preference information, which manages uncertainty better by allowing partial information ignorance. Decision makers’ (DMs) relative importance is calculated using the programming model, by properly gaining the advantage of the partial knowledge and attributes, the weights are calculated using the extended statistical variance (SV) method. Further, DMs preferences are aggregated using a hybrid operator, and CVs are prioritized, using extended COPRAS method under the PLTS context. Finally, a case study on CV prioritization is provided for validating the scientific framework and the results are compared with other methods for understanding the strength and weakness of the proposal.

Assessment Risk in Construction Projects in Iraq Using COPRAS-SWARA Combined Method

Risk in the age of globalization has become part of everyday life. Risk exists everywhere, in every area of life. One of these is the construction industry, where risk is a constant element in a big puzzle. This is true for construction projects in Iraq too, where official statistics indicate that most construction projects in Iraq always suffer from delay during the completion period and a significant increase in cost. Therefore, it is necessary to find a way to deal with this certain mater, meaning risk management. Risk management does not mean that the project is without risk, but means that dealing with the risk in different measures to ensure the success of the construction project. Risk management consists of several stages, the most important of which is the identification and assessment of the risks of the project. The objective of this paper is to identify and assess the risks in construction projects in Iraq by combining SWARA and COPRAS methods. To achieve the objective of the study, ten criteria for risk assessment were identified. Later the weights of criteria was determined using the SWARA method. The next step was identification and ranking of risks by using the COPRAS method. The result showed that mismatched plans with documentation, inaccurate surveys and preliminary data of the project, unqualified contractors, unexpected nature of the earth, and delayed implementation due to the contractor's capital deficiency were most important risk in construction projects in Iraq. Therefore, in order to tackle risks in Iraqi projects, there must be consideration of these risks, so as to achieve the goals of the project.

Inbound Marketing: Practical Aspects of Promoting Goods and Services in E-commerce

This paper summarizes the features of the functioning of e-commerce in Ukraine. It has been proven that the activity of e-shops as important subjects of the e-commerce market is under-regulated. This leads to consumer dissatisfaction with service quality in the online environment. The necessity of criteria creation was shown, which give them opportunities to e-shops management improve their service and enhance the level of satisfaction of target consumers, primarily based on the effective use of the newest method of promoting goods and services in e-commerce - inbound marketing on the example of infant nutrition. Rating evaluation of functional characteristics of infant nutrition e-shops was done using methods of multicriteria analysis, namely the COPRAS method. It is determined that the functionality and convenience of the e-shop are the main criteria that shape their competitive advantage. The focus of the paper is concentrated on the building rationale for promotion e-shops with the latest inbound marketing techniques. Peculiarities of using different inbound marketing tools on each stage were defined, which implicate a change of Internet-user status from visitor to promoter. An example of evaluating existing alternatives for promoting e-shop (inbound marketing, outbound marketing, or no promotion, in general, was provided). In particular, the decision-making process for choosing promotional tools for infant nutrition e-shop was schematized with the basis of alternatives evaluation by using one of the most common decision-making tools – decision tree. The economic effectiveness of using inbound marketing tools in comparison with outbound marketing tools was proven. The proposed methodological approach can be used by e-shop management for substantiation of management decisions on optimization of goods and services promotion and will increase the loyalty of target audience and popularize brands in e-commerce. Keywords: COPRAS method, decision-tree, e-commerce, e-shop, inbound marketing, infant nutrition, lead, outbound marketing, promotion.

APPLICATION OF COPRAS METHOD FOR LAND CONSOLIDATION PROJECTS RANKING

<p>Each local, self-government unit which is planning to develop and later implement the project of land consolidation is confronted with the problem of choosing the cadastral municipality for land management via land consolidation. The appliance of multi-criteria decision method enables and helps the decision makers to act regularly and correctly when making a decision. Multi-criteria analysis, above all, enables decision making in conflict conditions. These conditions include multiple alternatives and criteria, from which some should be maximized, and others minimized. This paper deals with the problematic of the ranking of cadastral municipalities in which land management should be performed with the use of land consolidation, by applying COPRAS method. The paper also presents the evaluation of the defined model in the Municipality of Pećinci.</p>

Green supplier selection using hybrid grey relational analysis with fuzzy logic method

Green supplier selection is an integral part of Supply Chain Management in recent times. With increasing concern on environment protection and ecological preservation use of green factors in supplier selection is vital for every organization. The general concept behind green supplier selection is to evaluate suppliers based on certain environmental and cost effective criteria and select the one with best ranking. Hence green supplier selection is a crucial process. Present work proposes the application of a hybrid MCDM method, Grey relational analysis with fuzzy logic for green supplier selection. An example problem is solved by this method and a comparison with the outcome obtained using MOORA and COPRAS method for same problem is presented to verify the proposed method. Results revealed that ranking orders for the first supplier and second supplier were interchanged with grey relational analysis when compared with COPRAS and MOORA methods. But after using fuzzy logics GFRG values of both the supplier obtained are same. This indicates that both the suppliers are equally competitive and there is flexibility to choose any one of them. It indicates that when vagueness is involved, grey-fuzzy logic algorithm can be effectively applied for solving multi-criteria supplier selection problems.

Métodos multicriterio aplicados en la selección de un material para discos de freno

La selección de material para un componente automotor es un proceso complejo, porque implica una exploración de los principales criterios de acuerdo con las propiedades exigidas por el componente a diseñar. El presente estudio tiene como objetivo evaluar un material alterno en la fabricación de un disco de freno en vehículos livianos tipo SUV, a partir de los métodos multicriterio; para lo cual se toman en consideración cinco materiales candidatos para la aplicación deseada (Ti6Al4V, Al10Si C, AISI 304L, ASTM A 536 y ASTM A48). Los métodos multicriterio (MCDM) empleados son: VIKOR – la optimización multidisciplinar y solución de compromiso; ELECTRE I – eliminación y opciones que reflejan la realidad; COPRAS – evaluación compleja proporcional; ARAS – evaluación de relación de aditivos; MOORA – optimización multiobjetivo basado en el análisis de radios y el método ENTROPÍA que se emplea para la ponderación de los criterios. Se obtiene que la mejor alternativa es el material ASTM A536 según los métodos COPRAS, ELECTRE I, y ARAS por su baja densidad, un alto límite elástico y una buena resistencia a la compresión; en segunda opción es el ASTM A48 según VIKOR y MOORA.

Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method

Chronic obstructive pulmonary disease (COPD) has two courses with different options for medical treatment: the acute exacerbation phase and the stable phase. However, the patients suffered with COPD, whether it is acute or stable, serious or mild, are willing to go to the general hospitals rather than the primary-level professional medical institutions, which leads to the imbalance of medical resources in hospitals with different levels. In order to allocate patients into different levels of hospitals, the fundamental and important thing is to assist the doctors to assess the severity of the COPD patients. This paper establishes an assessment indicator system about the severity of the COPD from the perspectives of system engineering and actual clinical experience, and then proposes a hesitant fuzzy linguistic complex proportional assessment (HFL-COPRAS) method to solve the decision-making problems under hesitant fuzzy linguistic environment. This method not only matches the doctors’ expression habits, but also considers both benefit and cost criteria with the proportional calculation. In addition, the weights of criteria are derived by the negative-ideal-solution-based method. Finally, we apply the HFL-COPRAS method to assess the severity of the COPD patients in the West China Hospital.

Comparative Analysis of Habitability Levels of Countries with COPRAS Method: BRICS Countries and Turkey

Bir ülkedeki insanların kaliteli bir yaşam sürdürebilmeleri belirli ekonomik, sosyal ve siyasal bazı kriterlere bağlıdır. Bu kriterlere işsizlik oranının düşüklüğü, adaletli bir gelir dağılımı, şehirleşme, eğitim ve sağlık sistemlerinin kaliteli olması gibi çeşitli örnekler verilebilir. Bu çalışmada, BRICS (Brezilya, Rusya, Hindistan, Çin, Güney Afrika) ülkeleri ve Türkiye’nin, yaşanabilirlik düzeylerinin karşılaştırmalı analizi, COPRAS yöntemi ile yapılması amaçlanmıştır. Çalışmada, kriter olarak GSYİH, nüfus yoğunluğu, ortalama yaşam süresi, işsizlik oranı, insani gelişmişlik endeksi ele alınmıştır. Çalışma sonunda, veriler ile elde edilen ülkelerin sıralamaları sonuç bölümünde yorumlanarak değerlendirilmiştir. Analiz sonucunda, yaşanabilirlik seviyesine göre; en yüksek Rusya, az bir farkla ikinci Çin olurken Güney Afrika sonuncu olarak tespit edilmiştir. Türkiye ise sıralamada dördüncü sırada yer almıştır.