Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization

Javanbarg, Mohammad; Scawthorn, Charles; Kiyono, Junji; Shahbodagh, Babak

doi:10.1016/j.eswa.2011.07.095

Cited by 151 publications

(83 citation statements)

References 39 publications

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“…Despite its wide and successful applications, and Zyoud et al [45] believe that fuzzy set theory has always been criticized for its inability in handling uncertainty outcomes from relating whole numbers to decision-making's understanding. However, Javanbarg et al [46] mentioned that, in the real world, fuzzy sets are ineffective in their application to ambiguous decision problems. As a result, the combination of traditional AHP with fuzzy set theory is a pivotal technique in dealing with sources of uncertainty, and Taylan et al [47] believed that this combination employs the principles of decomposition, pairwise comparisons, priority vector aggregation, and synthesis.…”

Section: F-ahp Techniquementioning

confidence: 99%

The Combination of a Fuzzy Analytical Hierarchy Process and the Taguchi Method to Evaluate the Malaysian Users’ Willingness to Pay for Public Transportation

2016

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Abstract:This study is an attempt to overcome the lack of reliable estimates on the willingness of Malaysian users to pay for public transportation (particularly buses) through a combined analysis of a fuzzy analytical hierarchy process (F-AHP) and the Taguchi method. This is a ground-breaking study in the attempt to evaluate the bus users' satisfaction factors based on the F-AHP, and find the pattern for the users' willingness to pay (WTP) characteristic by reducing the travel time with the Taguchi application. The data were collected from the public transportation users' intentions in Kelang Valley, Kuala Lumpur, Malaysia. The results convinced us that, for complex data, one requires flexible approaches that can adjust their combination methods to the properties of analyzed datasets. This study is interested in initiating the use of a system combination strategy to have a better understanding of the factors that motivate the public transportation users to be willing to pay for the public transportation's fare.

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Section: F-ahp Techniquementioning

confidence: 99%

The Combination of a Fuzzy Analytical Hierarchy Process and the Taguchi Method to Evaluate the Malaysian Users’ Willingness to Pay for Public Transportation

2016

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“…An integrated approach of analytic hierarchy process (AHP) improved by rough sets theory (Rough-AHP) and fuzzy TOPSIS method has been proposed to obtain final ranking in performance management system (Aydoğan, 2011). A method has been proposed for transforming a fuzzy prioritization problem into a constrained nonlinear optimization model and several illustrative examples using existing fuzzy AHP methods have been given to demonstrate the effectiveness of the proposed method (Javanbarg et al, 2012). Using the revised fuzzy analytic hierarchy process has been introduced a new decision process to include time dependency of decisions and statistical weighting from the standard analysis of variance (ANOVA), via a case study in the selection of wafer slicing and coating process for a three-year operation time (Rajput et al, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Bir Süt Ürünleri Fabrikasinda Bulanik AHS ile Makine Seçimi

Özdağoğlu¹,

Bahar²,

Yakut³

2017

Yönetim Ve Ekonomi: Celal Bayar Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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“…There are different types of criteria to select the convenient landfill site, but the current study employed two major groups, ecological criteria (geology, the faults, population centers, land use, surface water, groundwater, and conserved areas) and economical criteria (roads and slopes) to select the most suitable place based on the available data and previous researches (9,14,16) Each criterion was prepared as a map from different sources. The land use map, prepared by the natural resources organization of Khorasan Razavi province, then it was digitized and converted to raster format in spatial analyst tool in the ArcGIS term system.…”

Section: Study Areamentioning

confidence: 99%

“…The potential of representing vagueness or indecisive data in a natural form could be introduced as an important usage of fuzzy set theory (16). This capability of fuzzy logic is used to select landfill site by many researchers (17)(18)(19).…”

Section: Introductionmentioning

confidence: 99%

Convenient Landfill Site Selection by Using Fuzzy Logic and Geographic Information Systems: A Case Study in Bardaskan, East of Iran

et al. 2015

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Background: Due to burgeoning population, solid waste site selection is one of the most crucial issues in waste management system. Regarding the complexity of waste management systems, the convenient solid waste site selection involves considering multiple alternative solutions and assessing different criteria. Objectives: The current study, aimed to select the fuzzy logic method as one of the most popular approaches in multi criteria decision analysis (MCDA) to find a new sanitary landfill site through considering various criteria in Bardaskan city, Iran. Materials and Methods: Nine types of criteria divided into two main groups of ecological and economical criteria were involved to select the most convenient landfill site. A model based on the multi criteria evaluation techniques and combination of geographical information systems (GIS) with fuzzy logic was employed. The ESRI Arc GIS 10 term system was utilized to manipulate and present spatial data. The fuzzy AND operator was used to overlay all standardized maps. Results:The results of the current research proposed five locations with the fuzzy membership value of more than 0.9 as the best landfill sites in the study area. The sites were located in the North and North East of Bardaskan city. The study demonstrated that 51.97 % of the study area was not suitable for landfill location whilst only 7.8 % was highly suitable for landfill siting. About 1956.61 hectares of the studied area was suitable for territorial landfill siting. Conclusions:The study results guided the municipality authorities to select the best landfill site among the candidate ones, and due to the broad spectrum of classifications, the output results can enable decision makers to make appropriate decisions to reduce the costs both in economical and bioenvironmental criteria.

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Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization

Cited by 151 publications

References 39 publications

The Combination of a Fuzzy Analytical Hierarchy Process and the Taguchi Method to Evaluate the Malaysian Users’ Willingness to Pay for Public Transportation

The Combination of a Fuzzy Analytical Hierarchy Process and the Taguchi Method to Evaluate the Malaysian Users’ Willingness to Pay for Public Transportation

Bir Süt Ürünleri Fabrikasinda Bulanik AHS ile Makine Seçimi

Convenient Landfill Site Selection by Using Fuzzy Logic and Geographic Information Systems: A Case Study in Bardaskan, East of Iran

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