Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey

Kahraman, Cengiz; Cebeci, Ufuk; Ruan, Da

doi:10.1016/s0925-5273(03)00099-9

Cited by 660 publications

(326 citation statements)

References 21 publications

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“…The major profit of AHP is to conduct multiple standards and measures and doing quantitative along with qualitative data analyses quickly and easily (Meade and Sarkis, 1998;Kahraman et al, 2004 …”

Section: Proposed Methodsmentioning

confidence: 99%

Evaluating Socio-Economic and Environmental Impacts of Utilization of Renewable Energy Sources in Iran

Falaki¹,

Zohoori²

2016

IJSEA

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Abstract:Renewable energy sources is a quickly spreading field which has changed significantly over recent years. Besides advancement in technologies of renewable energy sources lead to the production of clean energy in a wide scale. Furthermore, renewables can be an origin of jobs and economically origin of energy. On the other words, nowadays, fossil fuels are the principal energy sources in which electricity is obtained. However, these sources will not last forevermore, and thus in due course renewable energies will have to sub them in this role. All kinds of energy sources have some negative effects on our environment. Fossil fuelscoal, oil, and natural gas -are considerably more detrimental than renewable energy sources by most measures, including pollution of water and air, public health damage, loss of habitat and wildlife, water usage, land utilization, and global warming emissions. Besides regarding social impacts of utilization of renewables is job creation, economics, health, and oil dependence. The goal of this article is to examine and evaluate impacts of utilization of renewable energy sources on socio-economic and environmental status which are able of being renewed if consume properly with the aim of choosing suitable and passable resources of energy as for achieving various policy's intentions and purposes in Iran. On the other hand, this research highlights social, economic and environmental impacts of these resources and after that proposes an appropriate techniques to rank them.

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Section: Proposed Methodsmentioning

confidence: 99%

Evaluating Socio-Economic and Environmental Impacts of Utilization of Renewable Energy Sources in Iran

Falaki¹,

Zohoori²

2016

IJSEA

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“…Since knowledge can be expressed in a more natural way by using fuzzy sets, many engineering and decision problems can be greatly simplified. The decision maker can specify preferences in the form of natural language expressions about the importance of each criterion [20]. In this study fuzzy TOPSIS approach is used to specify the ranking of alternatives according to aggregated decision matrix and weight vector as well as the individual decision matrices and weigh vectors.…”

Section: The Proposed Methodologymentioning

confidence: 99%

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

Erdoğan¹,

Küçük²,

Kaya³

2015

IJMO

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Abstract-In this paper, selection of outsourcing alternatives for waste of electrical and electronic equipment is performed with using fuzzy multi criteria decision making (MCDM) methodology. Related literature has been reviewed and the criteria are determined for evaluation. Five outsourcing firms are considered as alternatives for Istanbul Metropolitan Municipality and they are ranked according to the closeness coefficients that obtained by the proposed method. Finally the most appropriate outsourcing firm for waste of electrical and electronic equipment is determined for metropolitan municipality.Index Terms-Fuzzy decision making, outsourcing, waste electrical and electronic equipment.

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“…Experts could intuitively express their preferences as the Fuzzy numbers could accurately describe the expert's verbal judgments in the process Zadeh (1965). The Fuzzy comparison scale works excellent in capturing the subjective experience and knowledge of experts through the application of the Fuzzy numbers (Chang, Yeh 2002;Kahraman et al 2004) within Fuzzy-AHP. Using the advanced comparison scale, experts could express their judgments using natural languages such as ''equally important'' and ''absolutely more important'' which are directly corresponding to Fuzzy scale of (1, 1, 1) and (17/2, 9, 19/2), respectively.…”

Section: Pairwise Comparison To Establish Fuzzy Comparison Matrixmentioning

confidence: 99%

“…There are various types of Fuzzy numbers proposed in Fuzzy comparison scale, yet the triangular and trapezoidal shapes are the most frequently used membership functions in construction risk analysis practice due to their simplicity in application . They have been proven to be able to efficaciously formulate problems where the data available is of subjective and vague (Kahraman et al 2004;Chang et al 2007). In comparison, the triangular shape membership functions are the most often used in representing the Fuzzy numbers (Karsak, Tolga 2001) Mulholland and Christian (1999) Probability & PERT Time…”

Section: Pairwise Comparison To Establish Fuzzy Comparison Matrixmentioning

confidence: 99%

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

Abdul‐Rahman

Chen

Lee

2013

Journal of Civil Engineering and Management

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Abstract. Most of the current construction risk assessment tools deliver unsatisfactory results because the prerequisite for their effective applications rely on the availability of high quality data especially during the early stage of a project. Unfortunately, such data are limited, ambiguous or even not exist due to the great uncertainty inherent in construction projects. Based on Fuzzy Synthetic Analysis (FSA), a model development team was formed among construction engineers, IT professionals, and Mathematicians in developing a holistic risk assessment model to estimate the construction risks especially for the situations with incomplete data and vague environments. Through qualitative scales defined by triangular fuzzy numbers used in pairwise comparisons to capture the vagueness in the linguistic variables, a risk assessment model using Analytic Hierarchy Process (AHP) was developed. The Pilot Run revealed the developed Fuzzy Synthetic Model (FSM) could accelerate the decisionmaking process and provide optimal allocation of project resources to mitigate possible risks detrimental to the success of a project in terms of time, cost, and quality.

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Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey

Cited by 660 publications

References 21 publications

Evaluating Socio-Economic and Environmental Impacts of Utilization of Renewable Energy Sources in Iran

Evaluating Socio-Economic and Environmental Impacts of Utilization of Renewable Energy Sources in Iran

A Hybrid Fuzzy Decision Making Procedure to Select among Outsourcing Alternatives for Waste of Electrical and Electronic Equipment

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

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