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With the launch of new countryside construction plan, China has in the transition period of changing traditional rural landscape to the modern rural landscape. Destructive construction which leads to regional characteristics of urban construction in the loss, deterioration of ecological environment has radiated to the new countryside construction. Currently the research on the rural landscape design at an early stage, not on the new countryside construction in the formation of countryside landscape design specific guidance. Rebuilding the new countryside of regional features, protection and transmission of traditional culture and build harmony between man and nature imminent new socialist countryside, its theoretical research and practical guidance is of great significance. Vernacular landscapes as a regional history and culture carriers, the composition of the Vernacular landscape and its significance of mining, will help us protect the countrysides' traditional culture, reshaping rural regional characteristics, the countryside landscape design will display a new vitality. In this paper, we study on the multiple attribute decision making problems with fuzzy number intuitionistic fuzzy information. Firstly, we analyze several operations on the fuzzy number intuitionistic fuzzy sets. Afterwards, we design the fuzzy number intuitionistic fuzzy Hamacher correlated average (FNIFHCA) operator. Then, we apply the FNIFHCA operator to solve multiple attribute decision making under the fuzzy number intuitionistic fuzzy environments. In the end, an example to estimate the rural landscape design schemes is proposed to test the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

With the advent of the era of low-carbon economy, China enterprises urgently need for innovation in enterprises management if they want to occupy a place in the fierce market competition environment in the era of low-carbon economy, which puts forward the new requirements for energy conservation and emissions reduction to enterprises. To enterprises, promoting the management innovation under low carbon economy circumstances has the very vital significance, which can enhance the management ability and management level, and always possess a leading position in the market competition. In this paper, inspired by the method of traditional I-CG operator, we have proposed the induced hesitant fuzzy uncertain linguistic correlated geometric (IHFULCG) operator. Next, we exploited the IHFULCG operator to design some approaches to tackle the hesitant fuzzy uncertain linguistic multiple attribute decision making issues for evaluating the enterprise management innovation ability under low carbon economy circumstances. In the end, an example to estimate the enterprise management innovation ability under low carbon economy circumstances is given. [ABSTRACT FROM AUTHOR]

Classified diagnose and treatment (CDT) is a hot research topic in hospital management in China. As an essential way to implement CDT, the inpatient admission assessment involves different kinds of vague and uncertain information. The hesitant fuzzy linguistic term set provides a new technology to depict the vague and subjective evaluation information of the experts in hospital. In this paper, we apply the hesitant fuzzy linguistic VIKOR (HFL-VIKOR) method to the inpatient admission assessment process in which all the evaluation information over the patients are expressed as linguistic term sets or linguistic expressions. Firstly, the index of CDT (ICDT) of a patient is introduced to describe the degree to which the patient conforms to the classified diagnose and treatment principle. Based on these indices of different patients, the priorities of inpatient admission are assigned to the patients to ensure that the scarce medical resources be distributed to the most appropriate patients in the view of CDT. The numerical example in the West China Hospital reveals that the HFL-VIKOR method is a feasible and efficient methodology to solve the inpatient admission problem for the purpose of the classified diagnose and treatment. [ABSTRACT FROM AUTHOR]

Corporate venture capital refers to the direct venture investment in private companies made by non-financial corporations with specific core business. Along with rapid growth of Chinese economy, domestic venture capital has gone through a fantastic development among which corporate venture capital is an outstanding one. The study on the different types of venture captital, especially corporate venture capital, is required by the establishment and improvement of the mutiple-level capital market in China. Only on the basis of through understanding of the traits, advantages and disadvantages of corporate venture capital evaluation, we can set a better platform for its further development, contributing to the promotion of the entire venture capital market. In this paper, we utilize Hamacher operations to develop some intuitionistic fuzzy aggregation operators: intuitionistic fuzzy Hamacher weighted geometric (IFHWG) operator, intuitionistic fuzzy Hamacher ordered weighted geometric (IFHOWG) operator and intuitionistic fuzzy Hamacher hybrid geometric (IFHHG) operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the intuitionistic fuzzy multiple attribute decision making problems for investment performance evaluation of corporate venture capital. Finally, a practical example for investment performance evaluation of corporate venture capital is given to verify the developed approach and to demonstrate its practicality and effectiveness. [ABSTRACT FROM AUTHOR]

Urban regeneration decision-making is a complicated system, which requires that stakeholder interests balance in aspects of the economy, society and environment. It is necessary to identify the key factors affecting urban regeneration and then construct an urban regeneration decision-making evaluation system to provide a basis for objective and comprehensive judgment for urban regeneration decision-making. Through constructing a fuzzy comprehensive evaluation model based on the entropy weight method, this paper attempts to provide a scientific evaluation method for the suitability of urban regeneration. An urban regeneration scheduling method by sorting the appropriate degree of the update of different areas in the large region, is proposed to achieve urban regeneration implementation in the sequence of time and space optimization. [ABSTRACT FROM AUTHOR]

Unlike the other fuzzy neural networks, in this paper the fuzzy system and the neural network are separated, and they are corresponding to structure identification and parameter identification. The fuzzy model is generated automatically by on-line clustering method and fuzzy support vector machines. This fuzzy model is not updated, but its modeling error is compensated by a neural network. The neural network acts as the parameter identification model. The benefits of this new method are the structure is simple, and the physical meanings of each part of the model are clear. For the neural compensator, a new stable and fast training algorithm is proposed. Finally, this modeling method is successfully applied to model a magnetic tube recovery ratio in a metal company in China. [ABSTRACT FROM AUTHOR]