A Review on Fuzzy - AHP technique in Environmental Impact Assessment of Construction Projects, India

There are several countries today using procedures for Environmental impact assessment (EIA) is based on a series of mathematical techniques which attempt to localize, describe and assess the positive and negative effects that any human activity has on our environment, generally causing it to deteriorate. The environmental impact assessment (EIA) of projects requires the evaluation of the effects of very diverse actions on a number of different environmental factors, the uncertainty and inaccuracy being inherent in the process of allocating values to environmental impacts carried out by a panel of experts, stakeholders and affected population. The application of the fuzzy Logic and AHP technique can be helpful in identification of the risk associated with construction or developing project and improves the study of EIA. Fuzzy is one of the characteristics of human thoughts for which fuzzy sets theory is an effective tool for fuzziness. A fuzzy logic knowledge-based approach can be used for the environmental impact assessment study of the different construction projects. The review article highlights the role of Fuzzy AHP logic method in EIA of different construction projects, fuzzy logic modeling - software for fuzzy EIA, fuzzy numbers and steps of fuzzy methods as well as reveals that how fuzziness can be determined by applying fuzzy logic method in construction projects

Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making

Hamurcu, Mustafa/0000-0002-6166-3946; Eren, Tamer/0000-0001-5282-3138WOS:000537476200088Public transportation is one of the main goals of a developing city. This topic includes not only administrators, but also city residents and the environment, with economic, environmental, and social factors. This paper presents a multicriteria decision-making process for prioritizing alternative public transportation projects in Krkkale, considering the urban type of a developing city. It outlines three planned projects for improvement: "electric municipality bus", "light rail system", and the "modernization of existing vehicles and network optimization". In this study, we use the analytic hierarchy process and fuzzy technique for order preference by similarity to ideal situation (TOPSIS) application to prioritize transportation projects using economic, social, transportation, and environmental sub-criteria. The aim of this study is to select the most suitable project, based on sustainability, for more urban livability in Krkkale city. In the strategic decision-making process, the weights of each sustainability criteria have been determined using analytic hierarchy process (AHP). The fuzzy TOPSIS method has been applied for ranking the proposed alternative projects for Krkkale. Finally, the analytic decision process results are compared, and the electric municipality bus is selected as the best project alternative. The results of this study can not only offer a solution for current needs related to urban planning, but also ensure as a more transparent decision-making process for developing sustainability in developing cities in the near future

Applications of Fuzzy Analytic Hierarchy Process in Urban Mobility System

Importance of urban mobility system is increasing from year to year. This is the reason why decision making process is increasingly complex requiring taking into account more and more different criteria. One of the important and commonly used techniques that support decision making processes is Analytic Hierarchy Process (AHP) while for the purpose of supporting a more realistic way of decision making, fuzzy logic is used. The paper examines the use of fuzzy analytical hierarchy process (FAHP) in the urban mobility system. With the use of systematic literature review (SLR) it categorises peer reviewed journals’ articles related to the applications of FAHP in urban mobility system and extracted from Scopus and Web of science database, and analyses them methodologically. Papers were classified based on basic attributes of research papers, features of urban mobility system (UMS) where the FAHP was used, and use characteristics of the fuzzy analytic hierarchy process (FAHP). The results of this study indicated that the use of FAHP in urban mobility system is increasing with the first published paper in 2009. Our review has found that FAHP is used for very different purposes such as evaluation of customer expectations or citing a selection problem. Most often it is used in combination with other methods. Interestingly, there is only one paper that uses FAHP for decision making in the whole urban mobility system

Application of Multicriteria Decision-Making Methods in Railway Engineering: A Case Study of Train Control Information Systems (TCIS)

In order to improve its position in the transport market railway, as a complex system, it has to fulfill a number of objectives such as increased capacity and asset utilization, improved reliability and safety, higher customer service levels, better energy efficiency and fewer emissions, along with increased economic viability and profits. Some of these objectives call for the implementation of maximum values, while some of them require minimum values. Additionally, some can be expressed quantitatively, while some, for example, customer service, can be described qualitatively through a descriptive scale of points. The application of MCDM in railway engineering can play a significant role. Therefore, the major objective of this chapter is the review of the application of MCDM methods in railway engineering. As one of the means in achieving the objectives of railways and above all the utilization of capacity are Train Control Information Systems (TCIS). Based on that, the aim of this chapter is the evaluation of the efficiency of TCIS in the improvement of railway capacity utilization through defined technical-technological indicators. The non-radial Data Envelopment Analysis (DEA) model for the evaluation of TCIS efficiency in improvement of utilization of railway capacity using the selected indicators is proposed. The proposed non-radial DEA model for TCIS efficiency evaluation in using railway capacity could be applied to an overall network or for separate parts of railway lines

Site Selection for Hazardous Waste Using FuzzyLogic Combined With Analytic Hierarchy Process: ACase study in Nahavand, Iran

Hazardous wastes include various types of chemicals and other wastes generated from industrialand other sources. Because of the complexity of waste management systems, the selection of theappropriate solid waste landfill site requires consideration of multiple alternative solutions andevaluation criteria. This paper investigated the utilization of the fuzzy logic in combination withAnalytic Hierarchy Process (AHP) technique by applying GIS and IDRISI programming for choosinghazardous waste landfill site in Nahavand, Iran. Based on the real conditions of the study area, weconsidered economic, biological and topographical factors (12 criteria). The candidate sites weredetermined based on the criteria weights. The best location was determined via the fuzzy logic andthe AHP methods. This study found that the combination of fuzzy logic and the AHP method was thebest option for selecting a site for hazardous waste landfill. In the end, 6 suitable areas were selectedfor a hazardous waste landfill in the city. This study verified that the combination of the AHP methodwith fuzzy logic using GIS in our project is a powerful tool for solid waste landfill site selection

Fuzzy multiattribute consumer choice among health insurance options

People buy insurance to protect themselves against possible financial loss in the future. Health insurance provides protection against the possibility of financial loss due to health care use. A selection among health insurance options is a multiattribute decision making problem including many conflicting criteria. This problem can be better solved using the fuzzy set theory since human decision making is generally based on vague and linguistic data. We propose an integrated methodology composed of fuzzy AHP and fuzzy TOPSIS to select the best health insurance option. The considered option types, Health Savings Account (HSA), Flexible Spending Accounts (FSA), and Health Reimbursement Arrangement (HRA) are evaluated using eight different criteria under fuzziness. A sensitivity analysis is also realized. First published online: 18 Jun 201