Evaluation of urban taxi-carpooling matching schemes based on entropy weight fuzzy matter-element

Xiao, Qiang; He, Ruichun; Ma, Changxi; Zhang, Wei

doi:10.1016/j.asoc.2019.105493

Cited by 28 publications

(11 citation statements)

References 13 publications

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“…Based on the topologic theory and matter-element theory, the topologic evaluation method can determine the classical domain and nodal domain by topologically changing the thing to be evaluated, and calculating the correlation function and correlation degree so as to carry out the evaluation process combining quantitative and qualitative, which can effectively solve the uncertainty and contradiction problems. For example, in the study of modular design methods, it is used to eliminate obstacles between theory and engineering practice [31] to achieve the comprehensive evaluation and selection of contractors in the field of engineering [32] and in the evaluation of carpool matching [33], etc. However, it is used to determine the characteristic quantity value by a specific value interval, ignoring the randomness and fuzziness of the quantity value.…”

Section: Evaluation Methodsmentioning

confidence: 99%

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Wang

Lu³

et al. 2021

Sustainability

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In the process of economic development, the exploitation and utilization of resources has played an important role, but the subsequent post-mining collapse and the shortage of land resources have affected future reconstruction to a certain extent. Currently, there is a firm belief in sustainable development and its goals to be achieved in the future. Based on the concept of sustainable development, this paper examines the feasibility of rebuilding channels under adverse geological conditions, and studies whether there are risks and the degree of risk. According to the characteristics of the experts’ judgment language and the ambiguity and randomness between various factors, it is proposed that a cloud model is used to improve the AHP (Analytic Hierarchy Process) risk assessment method. At the same time, the traditional matter–element theory is improved through the cloud model, so that the impact of uncertainty and randomness can be comprehensively considered in the evaluation; finally, forming the risk assessment system of the cloud-based AHP and cloud-based matter–elements. The application of examples shows that, compared with the methods in the relevant literature, the evaluation results of this article are more objective, more accurate, have better applicability, and play an important guiding role in channel construction under adverse geological conditions.

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Section: Evaluation Methodsmentioning

confidence: 99%

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Wang

Lu³

et al. 2021

Sustainability

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“…The optimization of matching participants, routes, and schedules is widely and actively studied, as shown in Table 5. Several algorithms have been proposed to overcome traditional problems like passenger to driver matching [66] to minimize time and distance to the carpooling starting point and destination [67], to find participants within organizations [68], to determine the pricing schemes for the driver and the passengers [67], and to plan the route by integrating different means such as public transportation or bike rentals with carpooling [69]. Several studies examine the business models framework for services in smart cities.…”

Section: Literature Collection #1mentioning

confidence: 99%

Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review

Ανθόπουλος

Tzimos

2021

Sustainability

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Carpooling schemes for mutual cost benefits between the driver and the passengers has a long history. However, the convenience of driving alone, the increasing level of car ownership, and the difficulties in finding travelers with matching timing and routes keep car occupancy low. Technology is a key enabler of online platforms which facilitate the ride matching process and lead to an increase in carpooling services. Smart carpooling services may be an alternative and enrichment for mobility, which can help smart cities (SCs) reduce traffic congestion and gas emissions but require the appropriate architecture to support connection with the city infrastructure such as high-occupancy vehicle lanes, parking space, tolls, and the public transportation services. To better understand the evolution of carpooling platforms in SCs, bibliometric analysis of three separate specialized literature collections, combined with a systematic literature review, is performed. It is identified that smart carpooling platforms could generate additional value for participants and SCs. To deliver this value to an SC, a multi-sided platform business model is proposed, suitable for a carpooling service provider with multiple customer segments and partners. Finally, after examining the SC structure, a carpooling platform architecture is presented, which interconnects with the applicable smart city layers.

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“…These are based on mathematical theory and are more scientific, but deviation from the actual situation is easy due to the lack of subjective control. In the application process of the traditional fuzzy matter-element analysis model, most scholars adopt single weighting methods, such as AHP [20,21], the entropy weight method [22,23] and the variation coefficient method [24]. In recent years, many scholars have coupled the characteristics of the two methods and adopted a combined weighting method of subjective and objective weights in order to solve the bias of the single weighting method [25].…”

Section: Determination Of Combination Weightmentioning

confidence: 99%

“…Subordinate degree refers to the degree of membership corresponding to each evaluation index from the corresponding index value of the standard sample. µ ij can be defined by the principle of optimal subordinate degree [22].…”

Section: The Concept Of Fuzzy Matter-elementmentioning

confidence: 99%

SDGs-Based River Health Assessment for Small- and Medium-Sized Watersheds

2020

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A river health assessment index system was established, focusing on the realistic needs of county sustainable development and the refined management of small- and medium-sized watersheds. The index system takes into consideration the United Nations’ Sustainable Development Goals (SDGs) and the vulnerability characteristics of small- and medium-sized watershed ecosystems and consists of 15 indicators in four areas: clean water, sanitation, the present status of biodiversity and threats to biodiversity. This paper uses the minimum discrimination information principle to construct a dynamic combination-weighting technology composed of a subjective weighting method (document frequency method) and an objective weighting method (entropy weight method). Using the fuzzy matter-element analysis theory, a comprehensive river health assessment technology system was constructed. Baoxing County was chosen as the research area and the results reveal that: (1) Key indicators are the biodiversity index of fish, water use intensity, endemic or indicative species retention, and chemical oxygen demand (COD) emissions. (2) The Euclid approach degree of Baoxing County indicates that the entire river is in a moderate state of health. In the future, towns must take targeted measures to coordinate the relationship between the ecological environment and socio-economic development, and enhancement and releasing must be prioritised.

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Evaluation of urban taxi-carpooling matching schemes based on entropy weight fuzzy matter-element

Cited by 28 publications

References 13 publications

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review

SDGs-Based River Health Assessment for Small- and Medium-Sized Watersheds

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