Query: Fuzzy borda

title: Empirical Research of Competitiveness Evaluation for Chinese Commercial Banks Using the Fuzzy Borda Number Analytical Method Based on the Grille
abstract: A competitiveness evaluation indicator system of commercial banks from the aspects of safety,profitability,liquidity and development ability is established,which contains 16 effective indicators. It entrusts with the weight to every indicator using the fuzzy Borda number analytical method based on the grille. This method highlights the reference factors with respect to the competitiveness that banking experts are more concerned about. In addition,when judging weights,it does not take their relative essentialities into account,and has a simple calculation process and reliable result. Then the relative data in 14 annual reports are scored by experts invited and the comprehensive estimation for the competitiveness of each bank is made. The empirical study reveals that CCB,ICBC and BOC get the highest scores. At last,the dissertation makes some proposals on how to improve the competitiveness of the commercial banks.

title: Credit Evaluation of Enterprises in Strategic Emerging Industry Based on Fuzzy Borda Method
abstract: In order to improve the comprehensiveness,science and rationality of comprehensive evaluation,the paper tries to introduce the combination evaluation method into credit evaluation of enterprises in strategic emerging industry. Firstly,a credit evaluation index system of enterprises in strategic emerging industry is constructed. Meanwhile,the indicators weights are determined with the entropy weight method. Secondly,using normal cloud model and variable fuzzy sets theory respectively,the credit state of enterprises in strategic emerging industry is evaluated. Finally,the evaluation results of two methods above are combined by fuzzy Borda method,so that the result of combination evaluation is obtained. Compared with the single method,the result of combination evaluation has the higher reliability,so it can provide reference for commercial banks when making the credit decision to enterprises in strategic emerging industry.

title: Research on Combination Evaluation of Multi Project Priority Based on Fuzzy Borda Method
abstract: On the basis of multi project priority evaluation index system, comprehensive index method, analytic hierarchy process and weighted arithmetic mean were used to evaluate the priority of multi project in programme. Based on the consistency test of the three methods by Spearman rank correlation coefficient and the three single evaluation results, fuzzy Borda combination evaluation model was established to evaluate the priority of multi project objectively and scientifically. Finally, an example was introduced to prove the feasibility of the combination evaluation model.

title: Comprehensive evaluation of water resources security in the Yellow River basin based on a fuzzy multi attribute decision analysis approach
abstract: In this paper, a fuzzy multi attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA) weighted product (WP) cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS) Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco environment statuses in the above mentioned provinces should be prioritized in the future planning of the Yellow River basin.

title: Fuzzy group decision making based on variable weighted averaging operators
abstract: By merging the linguistic quantifier and Borda function, we propose a kind of new method to construct the state variable weight vectors with reward and the variable weight state vector, establish the variable weight synthesis decision making model which grasp the meaning of the linguistic value, and investigate several group decision making models derived by some typical linguistic quantifiers and the OWA operators. Finally, we use one numerical example to illustrate our model reasonable, make the comparison between OWA operator and variable weighted averaging operator, and point out that the quantified guided OWA operator is a pessimistic intendancy decision model, and quantifier guided VWA operator is a optimistic intendancy decision model.

title: Interactive comment on "Comprehensive evaluation of water resources security in the Yellow River basin based on a Fuzzy Multi Attribute Decision Analysis Approach" by K. K. Liu et al
abstract: In this paper, a fuzzy multi attribute decision analysis approach (FMADAA) was developed for supporting the evaluation of water resources security in nine provinces within the Yellow River basin. A numerical approximation system and a modified left right scoring approach were adopted to cope with the uncertainties in the acquired information. Also, four conventional multi attribute decision analysis (MADA) methods were implemented in the evaluation model for impact evaluation, including simple weighted addition (SWA) weighted product (WP) cooperative game theory (CGT) and technique for order preference by similarity to ideal solution (TOPSIS) Moreover, several aggregation methods including average ranking procedure, Borda and Copeland methods were used to integrate the ranking results, helping rank the water resources security in those nine provinces as well as improving reliability of evaluation results. The ranking results showed that the water resources security of the entire basin was in critical condition, including the insecurity and absolute insecurity states, especially in Shanxi, Inner Mongolia and Ningxia provinces in which water resources were lower than the average quantity in China. Hence, the improvement of water eco environment statuses in the above mentioned provinces should be prioritized in the future planning of the Yellow River basin.

title: Group Decision Making for Stochastic Optimization of Time, Cost, and Quality in Construction Projects
abstract: AbstractTime, cost, and quality are three major competitive objectives of every project, among which creating a balance through optimal resource utilization, results in desirable project performance. To address this issue, as an important concern in the project planning stage, this paper presents a group decision making framework to seek the optimal resource utilization, considering time, cost, and quality simultaneously. The framework, which has the capability of dealing with uncertainty, is the incorporation of the Monte Carlo simulation for stochastic measurements of time and cost, a fuzzy simple additive weighting system for stochastic estimation of quality, and the Borda Ordered Weighted Averaging method for the group decision making process. In this framework, time, cost, and quality as separate decision makers, which could carry different levels of weight in the decision making process, are able engage their different perceptions of risk and confidence levels. A proposed satisfaction index measures.

title: Comparing ranking methods: Complete RCI preference and multiplicative preference relations
abstract: The focus of this paper is comparison of ranking methods. Several methods have been introduced in literature to rank relations and it is noticed that different methods lead to different and possibly contradictory outcomes. To justify why some methods are better than others, a performance parameter needs to be established. We restrict ourselves to the class of Incomplete fuzzy and multiplicative preference relations that can be completed by methods defined by Khalid and Awais (12) and result in additive transitive and Saaty's consistent multiplicative preference relations. For the purpose of ranking, methods are proposed and compared pairwise with the famous fuzzy Borda rule. Also, fuzzy Borda rule for multiplicative preference relations is introduced. To appreciate the most suitable ranking method, we set the performance parameter to be the number of ties produced by each of these methods. So the best rule to rank additive transitive and Saaty's consistent relations is the one producing least number of ties. We prove some useful properties withheld by the considered relations, which helps conclude that these ranking methods are equally efficient for such relations since they produce equal number of ties in the same alternatives. We identify the reason of reaching ties and propose a solution.

title: The appraisal and empirical study on the knowledge management running performance of High tech industrialization
abstract: High tech industrialization is one of the critical paths for cultivating strategic emerging industry, while knowledge management is the effective mean for promoting high tech industrialization process. According to the demand, characteristics and functions of knowledge management of High tech industrialization, the knowledge management running performance appraisal index system of high tech industrialization is designed from knowledge butt joint, knowledge learning, knowledge sharing, knowledge integration and knowledge innovation. Then, the evaluation model is constructed based on the rules method and fuzzy borda number analytical method. Afterwards, five sample units are selected for the empirical study. The objective reference and method support are provided for bringing knowledge management theory method into the whole industrialization process, and realizing the scientific, standardized, efficient management in order to improve the High tech industrialization efficiency.

title: The appraisal and empirical study on the knowledge management running performance of High tech industrialization
abstract: High tech industrialization is one of the critical paths for cultivating strategic emerging industry, while knowledge management is the effective mean for promoting high tech industrialization process. According to the demand, characteristics and functions of knowledge management of High tech industrialization, the knowledge management running performance appraisal index system of high tech industrialization is designed from knowledge butt joint, knowledge learning, knowledge sharing, knowledge integration and knowledge innovation. Then, the evaluation model is constructed based on the rules method and fuzzy borda number analytical method. Afterwards, five sample units are selected for the empirical study. The objective reference and method support are provided for bringing knowledge management theory method into the whole industrialization process, and realizing the scientific, standardized, efficient management in order to improve the High tech industrialization efficiency.