Use of fuzzy synthetic evaluation for assessment of groundwater quality for drinking usage: a case study of Southern Haryana, India

2007 ◽  
Vol 54 (2) ◽  
pp. 249-255 ◽  
Author(s):  
Bhupinder Singh ◽  
Sudhir Dahiya ◽  
Sandeep Jain ◽  
V. K. Garg ◽  
H. S. Kushwaha
2007 ◽  
Vol 147 (3) ◽  
pp. 938-946 ◽  
Author(s):  
Sudhir Dahiya ◽  
Bupinder Singh ◽  
Shalini Gaur ◽  
V.K. Garg ◽  
H.S. Kushwaha

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Douglas Omoregie Aghimien ◽  
Clinton Aigbavboa ◽  
David J. Edwards ◽  
Abdul-Majeed Mahamadu ◽  
Paul Olomolaiye ◽  
...  

PurposeThis study presents a fuzzy synthetic evaluation of the challenges of smart city realisation in developing countries, using Nigeria as a case study. By defining and delineating the problems faced by the country, more viable directions to attaining smart city development can be achieved.Design/methodology/approachThe study adopted a post-positivist philosophical stance with a deductive approach. A structured questionnaire was used to gather data from built environment professionals involved in the delivery of Nigerian public infrastructures. Six dimensions of the challenges of smart cities were identified from literature and explored. They are governance, economic, social, technological, environmental and legal issues. Data gathered were analysed using Cronbach alpha test for reliability, Shapiro-Wilks test for normality, Kruskal-Wallis H-test for consistency and fuzzy synthetic evaluation test for the synthetic evaluation of the challenges of smart city attainment.FindingsThe findings revealed that all six assessed dimensions have a significant impact on the attainment of smart cities in Nigeria. More specifically, issues relating to environmental, technological, social and legal challenges are more prominent.Originality/valueThe fuzzy synthetic approach adopted provides a clear, practical insight on the issues that need to be addressed before the smart city development can be attained within developing countries.


2017 ◽  
Vol 18 (3) ◽  
pp. 1005-1019
Author(s):  
Jalal Rezaeenour ◽  
Mohammad Mousavi-Saleh ◽  
Abdol Rahman Kolahkaj

Abstract To compensate for the lack of funds for investment in private sector and infrastructure projects, governments may propose public–private partnerships (PPPs) to be able to use share capital and establish the necessary infrastructure of the country. The current study was undertaken to identify and determine the risk factors in PPPs for water supply projects in Iran. After identifying the risk factors using failure mode and effect analysis (FMEA), the risk priority number of each was assessed. This identified the most critical risk factors, which were then categorized into experimental, legal, financial, and technological subcategories. The fuzzy synthetic evaluation (FSE) technique and FMEA method were then blended and the FSE technique was modified for measuring the overall risk level. The computational results show that the levels of risk were ranked as follows (highest to lowest): financial, experimental, technological and legal. The level of risk in the financial subcategory was 6.11, in the experimental was 6.05 and in the technological and legal was 5.94 and 5.83, respectively. The overall risk level in PPPs for Iranian water supply projects considering linguistic variables as the criteria was 5.98, which is high. This level of risk confirms the applicability and suitability of the model.


2019 ◽  
Vol 14 (1) ◽  
pp. 31-46 ◽  
Author(s):  
Hamid Nayebpour ◽  
Mohsen Nazem Bokaei

Purpose The purpose of this paper is to present a new technique for the determination of effective criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation. Design/methodology/approach The weight values express the relative importance of criteria. In most of research works, weight values depend heavily on expert knowledge, and customer’s perspective have not been considered. The proposed approach determines the criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation considering Euclidean distance between the computed overall satisfaction evaluation and the surveyed overall satisfaction evaluation. Findings The research findings show that different segments of customer have various needs and explain causes of various needs in customers using genetic algorithm and fuzzy synthetic evaluation. Originality/value The value of the paper is in it using a new approach in order to determine the weight of criteria. The main advantage of proposed approach is that it will help managers and researchers to determine the weight of criteria on satisfaction, and this process will no longer just rely on expert knowledge.


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