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Technique for order preference by similarity to an ideal solution (TOPSIS) is an effective technique to solve multi-criteria decision-making problem. It aims to select the alternative, which has the “shortest distance” from positive ideal solution (PIS) and the “farthest distance” from negative ideal solution (NIS). Nevertheless, much literature ha...
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Citations
... MCDM methods are widely used in the literature in many fields such as education, health, energy, defense, and tourism [14,[43][44][45][46][47][48][49]. TOPSIS, EDAS and CODAS methods are some of the commonly used MCDM methods [18,22,[50][51][52][53][54][55][56][57][58]. ...
Nowadays, it is seen that the COVID-19 virus has changed with mutation and the most effective method in combating this virus is vaccination. In addition to increasing the number of tests, the development and implementation of policies to increase vaccination rates also increase the efficiency of countries in the fight against the virus. This study aims to measure the efficiency levels of OECD countries in the fight against the COVID-19 pandemic in different periods with data envelopment analysis (DEA). To achieve this goal, efficiency analyses were conducted using the output-oriented DEA-constant return to scale (CRS) model with data for 2021. As a result, Colombia, Denmark, New Zealand, Slovakia, and the USA were efficient, while Slovenia, Hungary, and Chile were the countries with the lowest efficiency scores. For inefficient countries to be efficient in the future, it is suggested that policies should be developed and rapidly implemented to reduce the number of cases and deaths, as well as to increase the number of tests. With the study, it has been concluded that the use of the DEA method together with multi-criteria decision making (MCDM) methods such as TOPSIS, EDAS and CODAS for efficiency evaluation of OECD countries allows for a better ranking of efficient decision-making units.
... The concept of fuzzy sets (FSs) proposed by Zadeh [1] descripts the complex decision-making environment, and it has been extended into more complicated fuzzy sets such as IFSs [2,3] and the hesitant fuzzy set (HFS) [4] which are the two main branches of FSs. The IFSs is the classical fuzzy set and it has been applied to many fields, such as business management, decision -making and so on [5][6][7]. ...
Green supply chain management attaches great importance to the coordinated development of social economy and ecological environment, and requires enterprises to consider environmental protection factors in product design, packaging, procurement, production, sales, logistics, waste and recycling. Suppliers are the “source” of the entire supply chain, and the choice of green suppliers is the basis of green supply chain management, and their quality will directly affect the environmental performance of enterprises. The green supplier selection is a classical multiple attribute group decision making (MAGDM) problems. Interval-valued intuitionistic fuzzy sets (IVIFSs) are the extension of intuitionistic fuzzy sets (IFSs), and are utilized to depict the complex and changeable circumstance. To better adapt to complex environment, the purpose of this paper is to construct a new method to solve the MAGDM problems for green supplier selection. Taking the fuzzy and uncertain character of the IVIFSs and the psychological preference into consideration, the original MABAC method based on the cumulative prospect theory (CPT) is extended into IVIFSs (IVIF-CPT-MABAC) method for MAGDM issues. Meanwhile, the method to evaluate the attribute weighting vector is calculated by CRITIC method. Finally, a numerical example for green supplier selection has been given and some comparisons is used to illustrate advantages of IVIF-CPT-MABAC method and some comparison analysis and sensitivity analysis are applied to prove this new method’s effectiveness and stability.
... (Rachwan et al., 2016) Thus, VE is an innovative approach to identifying and selecting the best choice of valve in terms of the value for the money (Sotoodeh, 2018a). Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an effective technique for solving multi-criteria decision-making problems (Huang & Jiang, 2018). It aims to select the alternative that has the "shortest distance" from the positive ideal solution (PIS) and the "farthest distance" from the negative ideal solution (NIS) (Huang & Jiang, 2018). ...
... Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an effective technique for solving multi-criteria decision-making problems (Huang & Jiang, 2018). It aims to select the alternative that has the "shortest distance" from the positive ideal solution (PIS) and the "farthest distance" from the negative ideal solution (NIS) (Huang & Jiang, 2018). However, TOPSIS is not used in this paper for valve selection since it requires more complex analysis. ...
High integrity pressure protection systems (HIPPSs) have been maintained for many years in the oil and gas industry in order to prevent over-pressurizing of the pressure facilities. Fundamentally, the main function of a HIPPS is to protect downstream equipment from excess pressure by continuously monitoring the line pressure and automatically closing the isolation valve(s) if the pressure rises above a specific level. A HIPPS is a specific application of a safety instrumented system (SIS) designed according to the International Electro Technical Commission (IEC) 61,508. This paper reviews the implementation of a state-of-the-art HIPPS for the subsea sector of the oil and gas industry. The different parameters that lead to subsea pipeline cost reduction due to HIPPS implementation are also reviewed in this paper. In addition, the usage of HIPPS for flare lines and relevant schematics are discussed. The paper introduces a case study of a 28" Class 150 HIPPS valve on a flare line. Four options of valves including ball, butterfly, through conduit gate (TCG) and axial are selected for the application. Value engineering methodology is used in order to select the most optimum valve for the application. The valves are compared based on one commercial and six technical parameters. The results of the value engineering show that an axial valve is the most suitable valve for HIPPS application. A butterfly valve could be considered if the intention is to reduce the cost of expenditure (CAPEX). A TCG valve is not recommended for this application according to the results of value engineering.
... Aiming at these problems, some experts have presented the corresponding improvement programs. For instance, Huang et al. [37] defined an optimism coefficient to describe DM's or investor's optimistic attitudes and utilized this parameter to extend the conventional ideal point method, so as to deal with the investment problem more effectively and flexibly; Xian et.al [38] later proposed an additional index characterizing DM's preference for risk and profit. In Xian et al.'s study [38], both the optimism coefficient in Huang et al.'s study [37] and preference index were introduced into the ideal point method, so that the availability of their study got great improvement. ...
... For instance, Huang et al. [37] defined an optimism coefficient to describe DM's or investor's optimistic attitudes and utilized this parameter to extend the conventional ideal point method, so as to deal with the investment problem more effectively and flexibly; Xian et.al [38] later proposed an additional index characterizing DM's preference for risk and profit. In Xian et al.'s study [38], both the optimism coefficient in Huang et al.'s study [37] and preference index were introduced into the ideal point method, so that the availability of their study got great improvement. In order to improve the feasibility and flexibility of the ELECTER II method and make it more applicable to complex and diverse problems in practical decision-making, double attitude parameters [38] which can reflect experts' optimism and their attitude towards risk and profit are considered and introduced to extend the traditional ELECTRE II method in our study. ...
As more attention is given to environmental protection, sustainable development has become a hot topic for the international community and the companies are motivated to focus on reverse logistics (RL) in their operations for resource conservation and sustainability. However, many enterprises are limited by their economic strength and resources so that outsourcing RL to third-party reverse logistics provider (3PRLP) is their best choice. Therefore, how to effectively assess and select the 3PRLP has been a crucial issue. Given that the preference and optimism of decision makers (DMs) should be exhibited, in this paper, an improved ELECTRE II method with double attitude parameters under linguistic Z-number (LZN) environment is proposed to deal with such decision problems. Firstly, the LZN is in use to describe experts’ assessments as well as the reliability of evaluations qualitatively. Then an improved ELECTRE II model based on ideal point method is presented to rank alternatives accurately, in which the main concept of ideal point method is pressed into service in determining the preference levels of alternatives and identifying the outranking relations. Meanwhile, two attitude parameters are introduced, which can express DMs’ preference for risk as well as profit and their optimism for decision making, thereby making the decision process more practical and the ranking more reasonable. Then a numerical example on the selection of 3PRLP is shown to minutely explain procedures of the presented method and a sensitivity analysis on the double attitude parameters is conducted to illustrate effects of the two indexes and verify the robustness of the proposed method. Finally, some comparisons are carried out to prove its effectiveness and meliority.
... The technique for order preference by similarity to an ideal solution (TOPSIS) determines the evaluation value by the Euclidean distance between the positive ideal solution (PIS) and negative ideal solution (NIS) and has been successfully applied in evaluation criteria for optimal selection [11,12]. However, the TOPSIS only evaluates the Euclidean distance between each scheme to PIS and NIS, but does not consider the geometric similarity between the service composition parameter sequence (SCps) and the ideal solution [13]. ...
... The TOPSIS, as a mathematical analysis method, was first proposed by Ching [28]. It ranks a limited number of evaluation objects according to their proximity to an idealized goal and evaluates the relative merits of existing objects [12]. The TOPSIS has been successfully applied to evaluation systems in various industries, such as engineer management [29] and online shopping websites [30]. ...
Service composition and optimal selection (SCOS) is a core issue in cloud manufacturing (CMfg) when integrating distributed manufacturing services for complex manufacturing tasks. Generally, a set of recommended task parameter sequences (Tps) will be given when publishing manufacturing tasks. The similarity between the service composition parameter sequence (SCps) and Tps also reflects the rationality of the service composition. However, various evaluation models based on QoS have been proposed, ignoring the rationality between the Tps and SCps. Considering the similarity of the Tps and SCps in an evaluation model, we propose a manufacturing SCOS framework called MSCOS. The framework includes two parts: an evaluation model and an algorithm for both optimization and selection. In the evaluation model, based on the numerical proximity and geometric similarity between the Tps and SCps, improving the technique for order preference by similarity to an ideal solution (TOPSIS) with the grey correlation degree (GC), we propose the GC&TOPSIS (GTOPSIS). In the optimization and selection algorithm, an improved flower pollination algorithm (IFPA) is proposed to achieve optimization and selection based on polyline characteristics between the fitness values in the population. Experiments show that the MSCOS evaluation effect and optimal selection offer better performance than commonly used algorithms.
... Decision makers often face struggles in evaluating alternatives in accordance to criteria due to different understanding towards problem domain and the way of thinking thus, resulting in different opinions and evaluations. In the context of alternatives selection, decision makers also can describe their intuition on risk and profit through the values of optimism coefficient [1]. Hence, vagueness in data and uncertainty in evaluating alternatives dealt by decision makers can be managed by implying hesitant fuzzy approach in the formulation. ...
... Ece and Uludag (2017) proposed applicability of fuzzy topsis method in optimal portfolio selection and an application in BIST. While, Huang and Jiang (2018) introduced the Extension of TOPSIS method and its application in investment. Moayyed et al (2019) identifying the factors affecting manufacturing investment projects and using TOPSIS method for prioritizing projects. ...
... Definition 1 [48,49] An intuitionistic fuzzy set (IFSs) in a non-empty set P can be defined as: ...
... In the following, we will list some algorithms and aggregate operators of IFNs to assist us in comprehending the application environment of this paper. Definition 2 [48]. Suppose there are two intuitionistic fuzzy numbers, = ( , ) and = ( , ) respectively, then: ...
The stock investment selection could be regarded as a classical multiple attribute group decision making (MAGDM) issue. The intuitionistic fuzzy sets (IFSs) can fully describes the uncertain information for stock investment selection. Furthermore, the classical TODIM method based on the cumulative prospect theory (CPT-TODIM) is built, which is a selectable method in reflecting the DMs’ psychological behavior. Thus, in this paper, the intuitionistic fuzzy CPT-TODIM (IF-CPT-TODIM) method is proposed for MAGDM issue. At the same time, it is enhancing rationality to get the weight information of attributes by using the CRITIC method under IFSs. And focusing on hot issues in contemporary society, this article applies the discussed method for stock investment selection and demonstrates for stock investment selection based on the proposed method. Finally, through comparing the outcome of comparative analysis, we conclude that this improved approach is acceptable.
... Liang and Xu (2017) have proposed a hesitant Pythagorean fuzzy TOPSIS with an application of energy project selection. However, Huang and Jiang (2018) claim there is a major restriction in using TOPSIS for more practical problems. As a result, they have developed an optimism coefficient to expand the physical meaning of standard TOPSIS. ...
The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture's examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence.
... TOPSIS method is also a popular MADM method for its efficient and straightforward calculation. Rıdvan et al. [36] extended the TOPSIS method to MCDM problem with single valued neutrosophic information; Ye [37] developed an extended TOPSIS method for a MAGDM problem based on the single-valued neutrosophic linguistic set (SVNLS); Tian et al. [38] combined INS and TOPSIS to establish two optimisation models for MCDM; Liu et al. [39] proposed a TOPSIS method for MAGDM with INN based on cloud model; Biswas et al. [40] proposed a TOPSIS method for MAGDM under single-valued neutrosophic environment; Liang et al. [1] presented an extended TOPSIS method combined with LNN in metallic mining projects investment; Liang et al. [4] introduced a linguistic neutrosophic MCGDM TOPSIS method to university human resource management; Chen et al. [6] handled a green supplier selection with TOPSIS method based on the OWA distance of the SVNLS; Liu et al. [41] proposed a neutrosophic hesitant fuzzy linguistic term set and combined the TOPSIS method to solve MCDM problem; Huang et al. [2] used the TOPSIS method to solve the investment problem under intuitionistic fuzzy environment; Giri et al. [42] used the TOPSIS method for solving the MADM in the form of interval trapezoidal neutrosophic number; Chai et al. [43] handled a MADM problem based on SVNS and TOPSIS method; Tan et al. [44] proposed a method based on intuitionistic (hesitant) fuzzy set (IHFS) and TOPSIS; Abdel-Basset et al. [9,10] combined bipolar neutrosophic numbers and TOPSIS for estimating the intelligent medical devices selection, and further proposed a novel TOPSIS method with type-2 neutrosophic numbers for developing supplier selection; Nguyen et al. [45] developed a new TOPSIS method based on the proposed intuitionistic (hesitant) fuzzy set theory; Pei et al. [46] introduced a fuzzy linguistic multiset TOPSIS method and applied it in linguistic decision-making problems; Elhassouny et al. [47] simplified the TOPSIS method and combined it with SVNS for decision-making. ...
Due to the complexity of decision-making problems and the subjectivity of decision-makers in practical application, it is necessary to adopt different forms of information expression according to the actual situation of specific decision-making problems and choose the best method to solve them. Multi-valued neutrosophic set, as an extension of neutrosophic set, can more effectively and accurately describe incomplete, uncertain or inconsistent information. TODIM and TOPSIS methods are two commonly used multi-attribute decision-making methods, each of which has its advantages and disadvantages. This paper proposes a new method based on TODIM and TOPSIS to solve multi-attribute decision-making problems under multi-valued neutrosophic environment. After introducing the related theory of multi-valued neutrosophic set and the traditional TODIM and TOPSIS methods, the new method based on a combination of TODIM and TOPSIS methods is described. And then, two illustrative examples proved the feasibility and validity of the proposed method. Finally, the result has been compared with some existing methods under the same examples and the proposed method's superiority has been proved. This paper studies this kind of decision-making problem from algorithm idea, algorithm steps and decision-making influencing factors.
