An intelligent scheduling scheme for real-time traffic management using Cooperative Game Theory and AHP-TOPSIS methods for next generation telecommunication networks
“…Additionally, the AHP can assist DMs in organizing the many assessment components of an issue into a hierarchical structure, thereby simplifying the decision-making process [42]. As a result, the AHP has been widely implemented in a number of transportation studies, including those related to traffic management [43][44][45][46], spatial decisions systems [47,48], and risk assessment for construction projects [49,50]. However, urban mobility is closely linked to the environment, economy, people, and policymaking of a city, which together represent a complex system [51].…”
Urban transportation issues continue to emerge and evolve as a result of rapid urbanization, and the systematic and scientific assessment of urban mobility is becoming increasingly essential. In this work, a Pressure-State-Response (PSR) model with 25 indicators was established to reflect the status of urban mobility. Then, the importance of indicators was determined with the interval-valued intuitionistic fuzzy analytic hierarchy process (IVIF-AHP) method, and the fuzzy comprehensive evaluation (FCE) method was applied to assess the overall status of urban mobility. The validity of the proposed model was demonstrated using the mobility system of Beijing as a case study, and the pressure, state, and response scores were calculated. The proposed assessment model can help to improve urban transportation monitoring and can also provide a scientific foundation for future urban transportation policymaking, planning, and traffic management, thereby further ensuring the sustainable development of urban transportation systems.
“…Additionally, the AHP can assist DMs in organizing the many assessment components of an issue into a hierarchical structure, thereby simplifying the decision-making process [42]. As a result, the AHP has been widely implemented in a number of transportation studies, including those related to traffic management [43][44][45][46], spatial decisions systems [47,48], and risk assessment for construction projects [49,50]. However, urban mobility is closely linked to the environment, economy, people, and policymaking of a city, which together represent a complex system [51].…”
Urban transportation issues continue to emerge and evolve as a result of rapid urbanization, and the systematic and scientific assessment of urban mobility is becoming increasingly essential. In this work, a Pressure-State-Response (PSR) model with 25 indicators was established to reflect the status of urban mobility. Then, the importance of indicators was determined with the interval-valued intuitionistic fuzzy analytic hierarchy process (IVIF-AHP) method, and the fuzzy comprehensive evaluation (FCE) method was applied to assess the overall status of urban mobility. The validity of the proposed model was demonstrated using the mobility system of Beijing as a case study, and the pressure, state, and response scores were calculated. The proposed assessment model can help to improve urban transportation monitoring and can also provide a scientific foundation for future urban transportation policymaking, planning, and traffic management, thereby further ensuring the sustainable development of urban transportation systems.
“…In those methodological improvement studies, we found that many studies since 2000 have used AHP-TOPSIS [36][37][38][39][40]. This has continued to be a trend in the last three years because the literature is replete with examples of its use in widely varying fields (e.g., [41][42][43][44][45][46][47][48][49]). Since TOPSIS is another widely used approach, setting up a hybrid approach that uses both TOPSIS and AHP (AHP-TOPSIS) as the rival approach is an important experimental design of this study.…”
The AHP–GTMA (analytic hierarchy process and graph theory and matrix approach) has been applied to select the best paper shredder before a company was making a bulk purchase order. However, there is a question as to whether one such relatively recent approach is effective to aid the selection decision problems in industrial/commercial practice. In this paper, a novel multi-measure, rank-based comparative research flow is proposed. The real decision problem case mentioned above is solved using the AHP–GTMA and the AHP–TOPSIS methods, respectively, with relevant datasets sourced. Several measures in the proposed flow, i.e., the arithmetical, geometrical, or even statistical ones, are multiplexed and used to validate the similarity between the rank order vectors (ROVs) (and thus between the final preferential orders determined over the alternatives) that are obtained using these two different methods. While AHP–TOPSIS is a confident multi-attribute decision-making (MADM) approach which has been successfully applied to many other fields, the similarity validated between these individual results using the proposed method is used to confirm the efficacy of the AHP–GTMA approach and to determine its applicability in practice. In addition, along with this study, some contributable points are also rendered for implementing the decision models, e.g., the optimized recursive implementation in R to compute the permanent value of a square ASAM (alternative selection attribute matrix, which is the computational basis required by AHP–GTMA) of any dimension. The proposed methodological flow to confirm the similarity based on the ordinal rank information is not only convenient in operational practice with ubiquitous tool supports (e.g., the vector-based R statistical platform), but also generalizable (to verify between another pair of results obtained using any other MADM methods). This gives options for future research.
“…The basic idea of CRITIC is that the objective weights of the indexes are determined based on the contrast intensity and conflicts between evaluation indexes. The basic principle of the TOPSIS is to sort the samples by measuring the distances between the evaluated object, the positive ideal solution and the negative ideal solution [42][43][44][45]. To overcome the he inverse problem of the method in power quality evaluation, the concept of the absolute positive ideal solution and absolute negative ideal solution in TOPSIS are introduced in this paper.…”
Section: The Graded Electricity Price Based On the Ahp-critic Methods mentioning
Abstract:To solve the problem of solar abandoning, which is accompanied by the rapid development of photovoltaic (PV) power generation, a demonstration of a photovoltaic-battery energy storage system (PV-BESS) power plant has been constructed in Qinghai province in China. However, it is difficult for the PV-BESS power plant to survive and develop with the current electricity price mechanism and subsidy policy. In this paper, a three-part electricity price mechanism is proposed based on a deep analysis of the construction and operation costs and economic income. The on-grid electricity price is divided into three parts: the capacity price, graded electricity price, and ancillary service price. First, to ensure that the investment of the PV-BESS power plant would achieve the industry benchmark income, the capacity price and benchmark electricity price are calculated using the discounted cash flow method. Then, the graded electricity price is calculated according to the grade of the quality of grid-connected power. Finally, the ancillary service price is calculated based on the graded electricity price and ancillary service compensation. The case studies verify the validity of the three-part electricity price mechanism. The verification shows that the three-part electricity price mechanism can help PV-BESS power plants to obtain good economic returns, which can promote the development of PV-BESS power plants.
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