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Sustainable materials are required for providing good design to products and proper application. It is economical, environmentally friendly and is widely accepted in society. The demand for knee replacement can be fulfilled with fulfilling aesthetic design and bio-compatibility of knee replacement. As the knee is the most important part of the body and the mobility of a person depends on its proper surgery and sustainable knee implants, in this paper an effort is made to design the knee implants using solid work design and the best implant material is selected Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The selection criteria of sustainable implant materials are dependent on properties like mechanical property, bio-compatibility ness and cost of the material , which helps in selection of best material, where as solid work helps in designing, optimizing and simulating sustainable knee implant design before manufacturing. For analyzing the material selection process, durability, performance and patients ' requirements are taken care of. Case studies and examples demonstrate the effectiveness of this approach in advancing orthopedic implant design and material selection, ultimately contributing to the improvement of patient care in the field of orthopedic surgery.

We address two main issues: one is to quantify the credit risk of enterprises and establish a complete credit risk system, and the other is to give the optimal credit risk strategy for banks. We first analyze and pre-process the data. From the data, we extracted a series of indicators such as the total amount of input and output, and the length of operation. We analyze the credit risk in three directions: strength, stability of supply and demand, and creditworthiness, and establish a credit risk quantification system for the enterprise. Then we quantify the credit risk of the enterprise by entropy method and TOPSIS. Second, a function is fitted to the bank’s customer churn rate and the bank’s lending rate. Using a planning-type model, the credit decisions of the firms are required to be given. We follow the principle of maximizing benefits and minimizing risks to build a multi-objective planning model. We base on the scores of each firm that have been solved, for the classification of firms, and follow the principle of low credit risk, low lending rate, and set the corresponding lending rate for each type of firm. The model is solved by the through-order solution method, and the linear weighting method is used to test the comparison. The credit decision for each enterprise is given.

It is of great practical significance to explore the green development path of regional economy and environment. In this paper, Yangtze River Economic Belt in China was selected as the research objects, entropy method and coupling coordination degree model were used to calculate and analyse the ecological and economic changes and coordination degree. The results show that the condition of ecology and economy of the Yangtze River Economic Belt are on the rise, and the overall economy is developing rapidly. Although the economy of some regions is on the rise, it is still relatively backward. The ecological situation has been improved, the improvement range is small, and there are regional differences. Overall, the coordination degree of ecological economy has improved, but there are also spatial differences. In order to promote the coordinated development of ecological economy in the Yangtze River Economic Belt, it is suggested to strengthen the treatment of ecological environment pollution, build a modern economic system and promote green development.

The paper describes the evaluation of the construction market performance in three Baltic States, including Estonia, Latvia, Lithuania and Poland, based on using structural statistical criteria. The evaluation covers various periods of time, embracing the time before the economic crisis, in 2007, during the economic crisis, in 2009, and after the economic crisis, in 2013. For assessing the efficiency of their construction sectors’ performance, the investigated countries are arranged in the order of preference according to this indicator by using three multiple-criteria decision making methods (MCDM), such as SAW, TOPSIS and COPRAS. These evaluation methods are based on determining the weights of the structural criteria used. For this purpose, three various methods, including the entropy, the method of the criteria impact loss (CILOS) and a new method of determining the objective criteria weights (IDOCRIW) suggested by the authors. The results obtained allowed the researchers to assess the construction market performance in the considered states in various periods of time, to compare them with other countries and to rank them based on this parameter. Therefore, the suggested method of market performance evaluation may be used as an effective supplementary aid for determining the priorities in the future business development, as well as for studying the competitive markets or directing the cash flows of an enterprise to the appropriate areas.

Scientific and rational planning of urban electric vehicles (EVs) charging station is an important prerequisite for large scale EVs interact with smart grid friendly. This article realizes the planning assessment of EV charging station based on fuzzy matter element theory. The features of urban EV charging station are analyzed, and the evaluation index system of alternative charging station is established. The paper applies fuzzy matter element analysis method to obtain the optimal fuzzy matter element sequence with alternative points, and as a reference sequence. The weights of alternative points corresponding evaluation index are obtained by entropy method. Then, the paper applies the gray correlation analysis to calculate the gray relational weighing degree of fuzzy matter element sequence of alternative points, and determine the EV charging station plan based on the size of gray relational weighing degree. Finally, the simulation results show that the proposed method is effective and feasible for EV charging station planning.

The paper focuses on studying connotative meaning, evaluation methods and models for chemical industry park based on in-depth analysis of relevant research results in China and abroad, it summarizes and states the feature of menacing vulnerability and structural vulnerability and submits detailed influence factors such as personnel vulnerability, infrastructural vulnerability, environmental vulnerability and the vulnerability of safety managerial defeat. Using vulnerability scoping diagram establishes 21 evaluation indexes and an index system for the vulnerability evaluation of chemical industrial park. The comprehensive weights are calculated with entropy method, combining matter-element extension model to make the quantitative evaluation, then apply to evaluate some chemical industrial park successfully. This method provides a new ideas and ways for enhancing overall safety of the chemical industrial park.