Multi-criteria selection for a wind observation station location using analytic hierarchy process

Aras, Haydar; Erdoğmuş, Şenol; Koç, Eylem

doi:10.1016/j.renene.2003.12.020

Cited by 195 publications

(103 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[78][79][80] Geomorphological structure (C 2,11 ): The subcriterion is related to the earth shapes, the change of earth shapes and the formation processes. 81 Geophysical structure (C 2,12 ): This sub-criterion considers mainly the invisible deep inner structure of Earth.…”

Section: Stage 2: Site Evaluation and Selectionmentioning

confidence: 99%

“…electricity, water, heat, communication and waste disposal systems. 80 The last is about energy sources, mainly coal and natural gas or electrical energy. 62 : Availability of white-collar Social Factors (C 2,4 ): The criterion includes socio structure of the site alternatives, and has three subcriteria which are "Population", "Local Support", and "Contribution to the society".…”

Section: Stage 2: Site Evaluation and Selectionmentioning

confidence: 99%

“…[80][81][82][83][84][85][86] Labor (C 2,6 ): The criterion defines the potential of blue-collar and white-collar employees for each site alternatives.…”

Section: Stage 2: Site Evaluation and Selectionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory

Çebi¹,

Otay²

2015

IJCIS

View full text Add to dashboard Cite

The study proposes a comprehensive and systematic approach for multi-criteria and multi-stage facility location selection problem. To handle with high and more uncertainty in the evaluation and selection processes, the problem is solved by using multi-criteria decision making technique with interval Type-2 fuzzy sets. The study contributes the facility location selection literature by introducing the application of fuzzy TOPSIS method with interval Type-2 fuzzy sets. Finally, the suggested approach is applied to a real life region and site selection problem of a cement factory.

show abstract

Section: Stage 2: Site Evaluation and Selectionmentioning

confidence: 99%

Section: Stage 2: Site Evaluation and Selectionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory

Çebi¹,

Otay²

2015

IJCIS

View full text Add to dashboard Cite

show abstract

“…In energy planning, different aspects of environmental assessments have been considered in various studies, and examples include: developing local energy sources to rank energy alternatives (Goumas and Lygerou 2000), evaluating water resources (Dai et al 2010), assessing renewable energy alternatives (Doukas et al 2007;Kahraman et al 2010) and finding optimal locations for energy projects (Aras et al 2004;San Cristóbal 2012;Yeh and Huang 2014;Afsordegan et al 2016). Doukas et al (2007) present a MCDM approach with linguistic variables to assist policy makers in formulating sustainable technologies in a Greek energy system.…”

Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

show abstract

“…This task should take into consideration several conflicting aspects due to the increasing complexity of social, technological, environmental, and economic factors [1,2]. The traditional single criteria decision-making approaches cannot handle the complexity of current systems and this problem [3,4]. An overview of the state of the art models and methods applied to the problem, analyzing and classifying current and future research trends in this field, is given in [5,6].…”

Section: Introductionmentioning

confidence: 99%

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Janjić¹,

Savić²,

Velimirović³

et al. 2015

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

Abstract:Unlike the traditional way of efficiency assessment of renewable energy sources integration, the smart grid concept is introducing new goals and objectives regarding increased use of renewable electricity sources, grid security, energy conservation, energy efficiency, and deregulated energy market. Possible benefits brought by renewable sources integration are evaluated by the degree of the approach to the ideal smart grid. In this paper, fuzzy analytical hierarchy process methodology for the integration efficiency has been proposed, taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid. The methodology has been illustrated on the choice of the size and location of a distributed generator in the radial distribution feeder.

show abstract

Multi-criteria selection for a wind observation station location using analytic hierarchy process

Cited by 195 publications

References 17 publications

Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory

Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Renewable energy integration in smart grids-multicriteria assessment using the fuzzy analytical hierarchy process

Contact Info

Product

Resources

About