scholarly journals Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1055
Author(s):  
Narueset Prasertsri ◽  
Satith Sangpradid
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Fuzzy Topsis ◽  
Geographical Information ◽  
Light Rail ◽  
Analytic Hierarchy ◽  
North East ◽  
Khon Kaen

Khon Kaen District is in the central, north-east part of Thailand and is being developed to handle the country’s growth. Khon Kaen District is undertaking the project of building a light rail as a facility for the people. Consequently, one of the problems is ensuring adequate parking for people using the light rail service. In general, the symmetry concept naturally used in decision making to finding an optimal solution for decision and optimization problems. In this paper, multi-criteria decision analysis (MCDA) and multi-objective decision making (MODM) were used to solve the parking site selection problem, which made the decision easier. This paper proposed an analytic hierarchy process (AHP) technique, combined with the geographical information system (GIS), to evaluate the weight of the criteria used in the analysis and find potential parking solutions. Furthermore, this paper proposed the application of a linguistic technique with fuzzy TOPSIS methods to analyze the appropriateness of parking site selections from potential candidates to support use of the light rail. The results of the MCDA show that the most suitable parking lot location is along the light rail and closest to the business area. The results of the fuzzy TOPSIS method, both positive and negative ideal decisions, can help inform decision makers in selecting which candidate site is optimal for parking.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

scholarly journals Applying the Analytical Hierarchy Process (AHP) into the effects assessment of river training works

2017 ◽  
Vol 35 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Justyna Hachoł ◽  
Mateusz Hämmerling ◽  
Elżbieta Bondar-Nowakowska
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Optimal Solution ◽  
River Regulation ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
River Bed ◽  
River Training ◽  
The One ◽  
Hierarchy Process

AbstractThe aim of the following study was to compare a few methods of river regulations and indicate the one which fully meets technical regulative standard and concurrently ensures protection of the watercourse ecosystem. According to the sustainable development rules it is of the most importance in every human activity to compromise between developmental and environmental needs of current and future generations. Therefore, both technical criteria related to flood safety and environmental ones were taken into consideration in the analysis. Field study was conducted in vegetation stage between 2008 and 2014 in small and medium lowland watercourses in Lower Silesia. The research comprised of measurements and descriptions of selected technical and environmental elements of a complex system of the watercourse river bed. Basing on obtained results a multicriterial assessment of the effects of the works was conducted. In order to assess the results an Analytic Hierarchy Process (AHP) was used in the study. It facilitated the creation of linear ranking of river beds and indicate the most optimal solution in terms of sustainable development. Such methods have not been applied in solving problems connected with river regulation. That’s why this study aims also at checking the utility of this method in decision making in both planning and regulation works realization. Results of the study indicate high usefulness of AHP method in the decision-making process.

scholarly journals Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers

2012 ◽  
Vol 2012 ◽  
pp. 1-21 ◽  
Author(s):  
Tiejun Li ◽  
Jianhua Jin ◽  
Chunquan Li
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Selection Problem ◽  
Triangular Fuzzy Numbers ◽  
Analytic Hierarchy ◽  
Multicriteria Group Decision Making

Multicriteria group decision making (MCGDM) research has rapidly been developed and become a hot topic for solving complex decision problems. Because of incomplete or non-obtainable information, the refractured well-selection problem often exists in complex and vague conditions that the relative importance of the criteria and the impacts of the alternatives on these criteria are difficult to determine precisely. This paper presents a new model for MCGDM by integrating fuzzy analytic hierarchy process (AHP) with fuzzy TOPSIS based on interval-typed fuzzy numbers, to help group decision makers for well-selection during refracturing treatment. The fuzzy AHP is used to analyze the structure of the selection problem and to determine weights of the criteria with triangular fuzzy numbers, and fuzzy TOPSIS with interval-typed triangular fuzzy numbers is proposed to determine final ranking for all the alternatives. Furthermore, the algorithm allows finding the best alternatives. The feasibility of the proposed methodology is also demonstrated by the application of refractured well-selection problem and the method will provide a more effective decision-making tool for MCGDM problems.

The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: An application in Turkey

2019 ◽  
Vol 44 (1) ◽  
pp. 60-74
Author(s):  
Emin Sertaç Arı ◽  
Cevriye Gencer
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Power ◽  
Site Selection ◽  
Power Plants ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Wind Power Plants ◽  
Simulation Based ◽  
Hierarchy Process

Clean domestic energy is an attractive option, especially for developing countries. Wind has been one of the most appealing renewable energy sources for those as of the beginning of the 20th century. This study focuses on an important work item of the establishment phase of this important energy source: power plant site selection. Three approaches were examined based on multiple-criteria decision-making methods. Stochastic multi-criteria acceptability analysis (a simulation-based approach with different kinds of uncertain information), analytic hierarchy process (a conventional deterministic approach), and AHP-SMAA (a hybrid approach) were applied separately in Turkey. In terms of novelty, analyses were conducted both with (analytic hierarchy process) and without (stochastic multi-criteria acceptability analysis) the preference information of the decision makers. The unique hybrid method integrates stochastic multi-criteria acceptability analysis with analytic hierarchy process to allow the simulation-based experiments with deterministic variables. As a result of the approaches, the same region (Burhaniye-Pelitköy) showed up as the optimal site to establish wind power plants at every turn. The techniques are globally applicable as long as the computational data and all parameters are gathered completely.

scholarly journals An Elite Decision Making Harmony Search Algorithm for Optimization Problem

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Lipu Zhang ◽  
Yinghong Xu ◽  
Yousong Liu
Keyword(s):  
Decision Making ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Optimal Solution ◽  
Harmony Search Algorithm ◽  
Solution Vector ◽  
Integer Variables ◽  
Design Variables ◽  
New Variant

This paper describes a new variant of harmony search algorithm which is inspired by a well-known item “elite decision making.” In the new algorithm, the good information captured in the current global best and the second best solutions can be well utilized to generate new solutions, following some probability rule. The generated new solution vector replaces the worst solution in the solution set, only if its fitness is better than that of the worst solution. The generating and updating steps and repeated until the near-optimal solution vector is obtained. Extensive computational comparisons are carried out by employing various standard benchmark optimization problems, including continuous design variables and integer variables minimization problems from the literature. The computational results show that the proposed new algorithm is competitive in finding solutions with the state-of-the-art harmony search variants.

scholarly journals Multi-criteria Optimization Technique with Complex Pythagorean Fuzzy N-soft Information

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Muhammad Akram ◽  
Faiza Wasim ◽  
José Carlos R. Alcantud ◽  
Ahmad N. Al-Kenani
Keyword(s):  
Decision Making ◽  
Comparative Study ◽  
Manufacturing Industry ◽  
Optimization Technique ◽  
Optimal Solution ◽  
Fuzzy Topsis ◽  
Industrial Robots ◽  
Weighted Averaging ◽  
Topsis Method ◽  
Vikor Method

AbstractThe main objective of this article is to lay the foundations of a novel multi-criteria optimization technique, namely, the complex Pythagorean fuzzy N-soft VIKOR (CPFNS-VIKOR) method that is highly proficient to express a great deal of linguistic imprecision and vagueness inherent in human assessments. This strategy provides a versatile decision-making tool for the ranking-based fuzzy modeling of two-dimensional parameterized data. The CPFNS-VIKOR method integrates the ground-breaking specialities of the VIKOR method with the outstanding parametric structure of the complex Pythagorean fuzzy N-soft model. It is exclusively designed for the specification of a compromise optimal solution having maximum group utility and minimum individual regret of the opponent by analyzing their weighted proximity from ideal solutions. The developed strategy factually permits specific linguistic terms to demystify the individual perspectives of the decision-making experts regarding the efficacy of the alternatives and the priorities of the applicable criteria. We comprehensively assemble these independent appraisals of all the experts using the complex Pythagorean fuzzy N-soft weighted averaging operator. Moreover, we calibrate the ranking measure by utilizing group utility measure and regret measure in order to specify the hierarchical outranking of the feasible alternatives. We demonstrate the systematic methodology and framework of the proposed method with the assistance of an explicative flow chart. We skilfully investigate an empirical analysis related to selection of constructive industrial robots for the modernization of a manufacturing industry which really justifies the remarkable accountability of the proposed strategy. Furthermore, we validate this technique by a comparative study with the existing complex Pythagorean fuzzy TOPSIS (CPF-TOPSIS) method, complex Pythagorean fuzzy VIKOR (CPF-VIKOR) method and Pythagorean fuzzy TOPSIS (PF-TOPSIS) method. The comparative study is exemplified with an illustrative bar chart that visually endorses the rationality of the proposed methodology by interpreting highly compatible and accurate final outcomes. Finally, we holistically analyze the functionality of the developed strategy to enlighten its merits and prominence over other available competent approaches.

The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

2018 ◽  
Vol 38 (4) ◽  
pp. 471-488 ◽  
Author(s):  
Amir Noori ◽  
Hossein Bonakdari ◽  
Khosro Morovati ◽  
Bahram Gharabaghi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Site Selection ◽  
Group Decision ◽  
Fuzzy Topsis ◽  
Dam Site ◽  
Topsis Model

scholarly journals The analytic hierarchy process as a support for decision making

Spatium ◽  
2007 ◽  
pp. 44-59 ◽  
Author(s):  
Milanka Filipovic
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Site Selection ◽  
Tourism Industry ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Basic Characteristics ◽  
The Given ◽  
Hierarchy Process ◽  
Pair Wise Comparison

The first part of this text deals with a convention site selection as one of the most lucrative areas in the tourism industry. The second part gives a further description of a method for decision making - the analytic hierarchy process. The basic characteristics: hierarchy constructions and pair wise comparison on the given level of the hierarchy are allured. The third part offers an example of application. This example is solved using the Super - Decision software, which is developed as a computer support for the analytic hierarchy process. This indicates that the AHP approach is a useful tool to help support a decision of convention site selection. .

Application of ArcGIS and QFD-based model for site selection for bio-medical waste disposal

2021 ◽  
pp. 0734242X2110606
Author(s):  
Jogendra Jangre ◽  
Kanika Prasad ◽  
Dharmendra Patel
Keyword(s):  
Decision Making ◽  
Waste Disposal ◽  
Site Selection ◽  
Quality Function Deployment ◽  
Secondary Infection ◽  
Health Sector ◽  
Medical Waste ◽  
Geographical Information ◽  
Wide Range ◽  
Healthcare Crisis

With the increasing formalisation of the health sector in India, the bio-medical waste (BMW) disposal regulations are getting stringent and its implementation is being enforced strictly. The coronavirus disease 2019 (COVID-19) created a healthcare crisis because of the highly contagious nature of the novel virus. Measures employed for the prevention and management of COVID-19 resulted in the generation of an unprecedented amount of BMW in Indian medical history. This BMW needs to be disposed of safely at a suitable site to prevent secondary infection and the potential spread of the virus in the environment. The selection of an appropriate site for BMW disposal requires comparing a wide range of social, economic and environmental factors corresponding to different site locations, which makes it a multi-criteria decision-making (MCDM) problem. This study aims to solve the BMW site selection problems using a quality function deployment-based model that can consider both the subjective and the objective criteria, and evaluate them as per the user’s requirements. The proposed model is applied to evaluate the suitability of waste disposal sites in the city of Bilaspur in Chhattisgarh, India. At first, eight possible locations for BMW disposal are identified, while utilising geographical information system (GIS). Consequently, the developed model is applied to evaluate the identified sites, taking 18 relevant criteria into consideration. A software prototype is developed in Visual BASIC 6 to automate the entire decision-making process, further adding to the novelty of the work.

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