Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry

Torlak, N. Gökhan; Sevkli, Mehmet; Şanal, Mehmet; Zaim, Selim

doi:10.1016/j.eswa.2010.08.125

Cited by 186 publications

(88 citation statements)

References 16 publications

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“…Moreover, the development level is relatively high. Here, the results of highway transportation development assessment we obtained were in accordance with the results of [21]. The effectiveness and feasibility of the proposed method were shown.…”

Section: Application In Highway Transportation Development Assessmentsupporting

confidence: 74%

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Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

Zhao

Suo

2014

Sustainability

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Abstract:With the rapid development of the national economy of China, an increasing need for transportation facilities is becoming a serious challenge that the existing traffic system has to meet. Thus, the highway transportation capacity development level assessment has important significance in theory and in practice. In order to overcome the current defects of stronger subjectivity and experience in common assessment methods, the entropy weight and the TOPSIS method were introduced and employed to the comprehensive assessment of highway transportation capacity development. Shannon information entropy was applied to determine the weight value of each index in the comprehensive assessment model. After determining the index weight, the result of comprehensive assessment was obtained through the TOPSIS method. Finally, the effectiveness and feasibility of the proposed method were shown by application in practice.

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Section: Application In Highway Transportation Development Assessmentsupporting

confidence: 74%

“…It is also called the "advantages and disadvantages distance method". It is an effective method in multi-objective decision analysis [20][21][22][23][24][25]. Its basic principle is to order by calculating distance between appraisal objects and the optimal and worst solutions.…”

Section: Topsis Modelmentioning

confidence: 99%

Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

Zhao

Suo

2014

Sustainability

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“…However, triangular and trapezoid membership functions were adopted to fuzzify the four normalized vulnerability attributes. The rationale was twofold: these functions are by far the most common forms encountered in practice and are relatively simply in terms of calculating membership grades (Torlak et al, 2011;Ross, 2005). Other membership functions such as a Gaussian distribution may also be used.…”

Section: Fuzzy Membership Of Vulnerability Attributesmentioning

confidence: 99%

An assessment method for highway network vulnerability

Rashidy

Grant-Muller

2014

Journal of Transport Geography

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This paper introduces a methodology to assess the level of vulnerability of road transport networks. A new technique based on fuzzy logic and exhaustive search optimisation is used to combine vulnerability attributes with different weights into a single vulnerability index for network links, which may be used to measure the impact of disruptive events. The network vulnerability index is then calculated using two different aggregations: an aggregated vulnerability index based on physical characteristics and an aggregated vulnerability index based on operational characteristics. The former uses link physical properties such as its length and the number of lanes, whilst the latter reflects aspects of the network flow. The application of the methodology on a synthetic network (based on Delft city, Netherland) demonstrates the ability of the technique to estimate variation in the level of vulnerability under different scenarios. The method also allows exploration of how variation in demand and supply impact on overall network vulnerability, providing a new tool for decision makers to understand the dynamic nature of vulnerability under various events. The method could also be used as an evaluation tool to gauge the impact of particular policies on the level of vulnerability for the highway network and highlight weaknesses in the network.

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“…A TFN belongs to the closed interval 0 and 1, which 1 addresses full membership and 0 expresses non-membership. It is often convenient to work with TFNs because they are relatively simple to compute and are useful in representing and processing information in a fuzzy environment [22]. A TFN, , can be defined by a triplet ( , , ).…”

Section: Fuzzy Topsis Coupled With Entropymentioning

confidence: 99%

Parametric Assessment of Water Use Vulnerability Variations Using SWAT and Fuzzy TOPSIS Coupled with Entropy

2015

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Abstract:This study assessed the water use vulnerability to include the uncertainty of the weighting values of evaluation criteria and the annual variations of performance values using fuzzy TOPSIS coupled with the Shannon entropy method. This procedure was applied to 12 major basins covering about 88% territory of South Korea. Hydrological components were simulated using Soil and Water Assessment Tool (SWAT) of which parameters were optimally calibrated using SWAT-CUP model. The 15 indicators including hydrological and anthropogenic factors were selected, based on three aspects of climate exposure, sensitivity and adaptive capacity. Their weighting values were objectively quantified using the Entropy method. All performance values of 12 basins obtained from statistic Korea and SWAT simulation were normalized with the consideration of the annual variations from 1991 to 2014 using triangular fuzzy numbers (TFNs). Then, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique was used to quantify the water use vulnerability and rank 12 basins as follows: A12 (Hyeongsan River) > A6 (Seomjin River) > A5 (Youngsan River) > A8 (Mangyung River) > A2 (Ansung River) > A9 (Dongjin River) > A10 (Nakdong River) > A3 (Geum River) > A4 (Sapgyo River) > A11 (Taehwa River) > A7 (Tamjin River) > A1 (Han River). This framework can be used to determine the spatial priority for sustainable water resources plan and applied to derive the climate change vulnerability on sustainable water resources. OPEN ACCESSSustainability 2015, 7 12053

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Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry

Cited by 186 publications

References 16 publications

Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

Comprehensive Assessment on Sustainable Development of Highway Transportation Capacity Based on Entropy Weight and TOPSIS

An assessment method for highway network vulnerability

Parametric Assessment of Water Use Vulnerability Variations Using SWAT and Fuzzy TOPSIS Coupled with Entropy

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