Comparative Investigation of Normalization Techniques and Their Influence on MCDM Ranking – A Case Study

The aim of this paper is to determining the best solution to overcome Supply Chain Knowledge Flow Barriers (SCKFBs) in an Indian case organization by using an Analytic Hierarchy Process (AHP) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method in fuzzy environment. The weights of the SCKFBs identified using fuzzy AHP method and ranking of the solutions determined by fuzzy TOPSIS method. The uniqueness of the study comes through the application of the AHP and TOPSIS method under fuzzy environment to find the solutions for SCKFBs in order to make knowledge flow implementation becomes simpler in the organization.

The limited government budget for the construction of small dam in Semarang Regency has led to the need to determine the construction priorities. However, the large number of construction's technical aspects causes the determination of the construction priorities to be difficult. One of the best methods for multi-criteria decision making is the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). However, ranking and weighting of the criteria that use in these constructions were difficult. It was caused by human assessment factors that were less precise especially on linguistic variables criteria. Therefore, a fuzzy logic was needed for calculating these criteria. There are eight alternatives of small dams and seven criteria of technical aspects analyzed in this study. The first step was determining membership function and weighting each criteria. Then, TOPSIS method was applied to ranked eight alternatives. The highest priority was determined by finding alternative that has the largest closeness coefficient (CCi). It represents alternative with closest distance to fuzzy positive ideal solution and farthest distance to fuzzy negative ideal solution. Based on analysis, Mluweh Dams has the highest CCi value of 0.612. It could be concluded that Mluweh Dams is the highest construction priority of small dams in Semarang Regency.

PDF HTML阅读 XML下载 导出引用 引用提醒 基于FAHP-TOPSIS法的我国省域低碳发展水平评价 DOI: 10.5846/stxb201305121027 作者: 作者单位: 江西师范大学 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金项目(41001383);江西师范大学博士启动基金项目(4581);中国博士后科学基金特别项目(201003158) Study on the levels’ evaluation of provincial low-carbon development in China based on the FAHP-TOPSIS method Author: Affiliation: Jiangxi Normal University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:在区分低碳经济与低碳发展的基础上,构建了一套低碳发展指标体系,并采用整合的FAHP-TOPSIS法对我国30个省区进行评价研究。结果表明:(1)该指标体系是实用且有效的,可以成功的用来评价一个区域的低碳发展水平。(2)整合的FAHP-TOPSIS法引入了模糊数集,能有效处理专家评估过程中的模糊性,评估结果也符合实际。(3)2003年到2008年,上海低碳发展水平有所下降,下降率为1.91%;其余各省区均在增长,浙江增长最大,北京增长最小,两者增长率分别为29.73%和0.38%。(4)北京一直拥有相对最高的低碳发展水平,而辽宁和江西一直分别处于第6和10位。宁夏、青海、甘肃、贵州及河南则一直依次处于低碳发展水平的倒数前5位,且位次不变。最后,分析了评估结果的合理性及不确定性并提出了一些提高省域低碳发展水平的可行途径及未来可进一步研究的方向。 Abstract:Since the low-carbon economy (LCE) was, firstly, brought out by the Department of Trade and Industry (DTI) in UK in 2003, the issues related to the concept of low carbon (LC) have attracted more and more attentions at home and abroad. The low-carbon development (LCD) is one of the hottest issues in the academic circles. However, people remain to have some controversial viewpoints on this topic of LCD up to now. For example, some people think the LCD should guarantee the growth of Gross Domestic Product (GDP), but some others think the LCD could leave it out. Therefore, in this paper, the two concepts of LCE and LCD were, at the first step, distinguished based on some published literature. Then, according to the distinguished result above, the indicators' system for evaluating the LCD levels of different regions was constructed, which contains 5 second-layer's indicators and 10 third-layer's indicators. As the unavailability of data, some provinces were omitted, and there were 30 provinces altogether were taken into the numerical case. In the empirical research process, a two-step methodology of combining the Fuzzy Analytic Hierarchy Process (FAHP) with the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method is proposed. The FAHP was, firstly, used to compute the indicators' weights of the 30 provinces' LCD levels, and then the TOPSIS method used these weights as its own input weights to complete the whole calculation process. The results show that: (1) the index system is a very practical and effective evaluation tool. It can successfully help people to evaluate the LCD level of a region. (2) The integrated FAHP-TOPSIS method can effectively deal with the fuzziness, which was coming from the process of expert's assessment, because the fuzzy number' set was drawn into it. The results acquired are reasonable and consistent with the reality, which further prove the reliability of the method itself. (3) From 2003 to 2008, the LCD level of Shanghai has a slightly decreasing change. The percentage of the decline is 1.91%. All the rest 29 provinces have the increasing trend. Among them, Zhejiang has the largest growth, and Beijing has the least growth. The increasing percentages of the two regions are 29.73% and 0.38%, respectively. (4) Overall, the top 10 provinces of the LCD level in 2003 are still in the top 10 positions in 2008. Among the ten, Beijing has always had the highest LCD level relatively, while Liaoning and Jiangxi have kept at the 6th and 10th positions, respectively, but the rankings of the other seven provinces are changed from 2003 to 2008. However, the LCD levels of Ningxia, Qinghai, Gansu, Guizhou and Henan have been successively in the reciprocal five positions, and their rankings are unchanged. Finally, the rationality and uncertainty of the results by using the FAHP-TOPSIS method were analyzed. Some feasible directions for future studies are put forward, and some preferable policy suggestions to improve the provincial LCD level were proposed. These advices contain: strengthen the transformation of energy-saving technology; increase the proportion of renewable-energy consumption; accelerate the construction of the new urbanization and the compact city; implement the system of carbon emissions' total amount control, quota allocation and trading; extend an existing reforestation program, and so on. 参考文献 相似文献 引证文献

In order to obtain the main and secondary factors affecting the properties of the screw steel and its correlation, this text constructed a TOPSIS (Technique for order performance by similarity to ideal solution) evaluation system based on entropy weight. First of all, three properties indexes of deformed steel bar are selected: the yield strength, tensile strength and elongation at break after breaking. Secondly, we defined a comprehensive index C which is for measuring the property of thread steel by using TOPSIS method, and then the correlation degree of various chemical elements and comprehensive index C were analyzed. According to the principle that the bigger of coefficient correlation, the greater impact, to draw a conclusion: the main elements that affect the properties of deformed steel bar are C, Ceq, Si and Cr, the secondary factors are Mn, Mo, ALT, Ni, Cu, Cr, S, P and V. Finally, the correlation between various elements was studied by means of correlation analysis, where there was a significant positive correlation between Cu and Cr.

The purpose of this paper is to extend the TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method for solving multiple attribute decision making (MADM) problems with trapezoid fuzzy linguistic variables. To begin with, this paper introduces the concept of the trapezoid fuzzy linguistic variables, and defines the distance between two trapezoid fuzzy linguistic variables in order to deal with trapezoid fuzzy linguistic variables directly. This paper proposed a combined weight to highlight the importance of weights. Then, the combined weights of each attribute can be determined by the maximizing deviation method and the non-linear weighted comprehensive method. Furthermore, the relative closeness degree is defined based on the TOPSIS method to determine the ranking order of all alternatives by calculating the distances to both the positive ideal solution and negative ideal solution, respectively. Finally, an illustrative example is given to verify the feasibility and effectiveness of this method.

The aim of this paper is to apply an integrated model, which combines methods of classical and fuzzy Multi-criteria decision making (MCDM) in selected six large equity companies from the Serbian energy sector. The data considered are retrieved from the official financial statements. Four main criteria were analyzed, identified by the previous researchers and pointing to the employees’ productivity: Operating income/Number of employees, Equity/Number of employees, Net income/Number of employees and Total assets/Number of employees. The contribution of this paper lies in the application of a hybrid model that integrates two MCDM methods: Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to analyse the employee productivity in selected D-Electrical power supply companies operating in Serbia. The FAHP is an effective method for mathematical representation of uncertain and imprecise evaluations made by humans, while the TOPSIS method is an efficient way to rank the alternatives. Results show that operating income is of highest importance for estimating employee productivity and decision making, while equity is of the weakest. Furthermore, the most productive operations in large enterprises from selected companies of the sector D-Electrical power supply are found in the company PC EPS Beograd, and the lowest are in the ED Center llc Kragujevac.

In this paper, it was aimed to select a suitable method to extract the dimensional stone to increase dimensional stone quarries efficiency. The usual methods including diamond cutting-wire method, blasting method, plug, and feather method, Katrock expanding material and Fract expanding material have compared using TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method by respecting to the following criteria: grass income, safety, desirability, reduction of environmental impacts, waste and reduction of extracting time. FDAHP (Fuzzy Delphi Analytic Hierarchy Process) approach was used in determining the degree of importance of the criteria by expert decision makers. Also, those criteria performed the same impacts were not considered. Consequently, the diamond wire saw method was suggested as the most appropriate method to extract the dimensional stones. It was concluded that the extraction of dimensional stone using diamond wire saw is the best method based on the mentioned criterion compared to other methods.

Selection of Material for Optimal Design Using Multi-criteria Decision Making

A hybrid multi-criteria decision modeling approach for the best biodiesel blend selection based on ANP-TOPSIS analysis

This article presents a decision-making approach based on a hybrid genetic algorithm (GA) and a technique for order performance by similarity to ideal solution (TOPSIS) simulation (HGTS) for determining the most efficient number of operators and the efficient measurement of operator assignment in cellular manufacturing systems (CMS). The objective is to determine the labor assignment in a CMS environment with the optimum performance. We use HGTS for getting near optimum ranking of the alternative with best fit to the fitness function. Also, this approach is performed by employing the number of operators, average lead time of demand, average waiting time of demand, number of completed parts, operator utilization, and average machine utilization as attributes. Also, the entropy method is used to determine the weight of attributes. Furthermore, values of attributes are procured by means of computer simulation. The unique feature of this model is demonstration of efficient ranks of alternatives by reducing the distance between neighborhood alternatives. The superiority and advantages of the proposed HGTS are shown through qualitative and qualitative comparisons with TOPSIS, data envelopment analysis (DEA), and principal component analysis (PCA).

An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setúbal Peninsula, Portugal

Route selection is a very sensitive activity for mobile ad-hoc network (MANET) and ranking of multiple routes from source node to destination node can result in effective route selection and can provide many other benefits for better performance and security of MANET. This paper proposes an evaluation model based on analytical hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS) to provide a useful solution for ranking of routes. The proposed model utilizes AHP to acquire criteria weights, fuzzy sets to describe vagueness with linguistic values and triangular fuzzy numbers, and TOPSIS to obtain the final ranking of routes. Final ranking of routes facilitates selection of best and most reliable route and provide alternative options for making a robust Mobile Ad-hoc network.

This study aims to develop a comprehensive evaluation approach to analyze and grade the energy sources based on statistical data. A brief bibliometric analysis for energy sources evaluation shows that clean, sustainable and environment friendly of energy development is the main trend. Four kinds of energy sources including raw coal, crude oil, natural gas and electricity, are analyzed. The approach is developed based on the extended technique for order performance by similarity to ideal solution (TOPSIS) and criteria importance through inter-criteria correlation (CRITIC). The CRITIC method is utilized to assign the weights of attributes and the extended TOPSIS is applied to grade the energy sources. An example about energy sources evaluation in China is adopted. Results show that non-renewable energy sources (raw coal and crude oil), are main energy sources from 2010 to 2018. Additionally, the correlation analysis and sensitivity studies are presented to illustrate the feasibility of the developed approach. Developed approach provides a tool in energy sources analysis.

A multi-criteria decision analysis approach for importance identification and ranking of network components

Purpose The study responds to address the practical problem faced by the digital marketers, content creators and digital business agencies on creating content, which is both human-readable and LLM-compatible. The present study identifies and analyses the key factors influencing content optimization for Large Language Models (LLMs) to develop a strategic framework for Large Language Model Optimization (LLMO) that aligns with modern search paradigms. Design/methodology/approach This research employs a two-phases multi-criteria decision-making (MCDM) approach combining CRITIC (Criteria Importance Through Intercriteria Correlation) to determine factor weights, and DEMATEL (Decision-Making Trial and Evaluation Laboratory) to map causal relationships. A panel of 15 experts across three countries (India, UAE and USA) rated the influence of five identified factors. Findings The study identifies five critical factors for LLMO: Retrieval Augmentation, Readability Enhancement, Content Quality Assurance, Filtering of Unsafe Content and User-Centric Content Design. Retrieval Augmentation and User-Centric Design emerged as key causal factors, while Readability and Content Quality acted as bridges or effects. Although factor weights were relatively balanced, the DEMATEL analysis revealed interdependencies highlighting the dynamic nature of LLMO. Practical implications The results provide actionable guidance to digital marketing experts and agencies, content strategists, marketing heads and developers to structure web content that is both human-readable and LLM-compatible. The study offers insights to organizations on how they can enhance their digital visibility and authority in AI-powered search ecosystems. Originality/value This study fills a critical gap by offering the first integrated CRITIC-DEMATEL framework for LLMO. It distinguishes LLMO from traditional SEO and offers a novel causal model to support the development of holistic, future-ready content strategies.