智能信息处理方法在股市研究中的应用

本主要介绍了智能信息处理方法在股市研究中的应用，着重介绍了基于模糊数学方法的政策因素综合评价研究、神经网络模型在股票价格分析中的应用和小波包在股票价格预测中的应用。     

房地产投资项目融资风险的灰色模糊评判研究

房地产投资项目的融资风险问题具有灰色性(信息不完全)和模糊(概念不明确)性。考虑到灰色性和模糊性的影响，采用适用性更广的灰色模糊多级综合评判理论，对房地产投资项目融资风险的多级指标体系进行综合评判，可以有效地、全面地和系统地评价房地产投资项目融资风险的大小，为项目融资项目决策提供准确依据。     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

Pro-market institutions and outward FDI of emerging market firms: An institutional arbitrage logic

We offer new theory and evidence regarding the effects of pro-market institutions on outward foreign direct investment (FDI) of emerging market firms (EMFs). Drawing on the logic of institutional arbitrage, we integrate the escapism and exploitation mechanisms of EMF internationalization into a unified theoretical context. We propose an inverted U-shaped relationship between host market-supporting institutions (MSI) and the investment scale of an EMF’s FDI project in the country, showing an escape-driven upward slope for low-to-medium MSI levels and an exploitation-driven downward slope for medium-to-high MSI levels. We supplement this main argument with two boundary conditions: the alleviating effect of home market liberalization (HML) and the strengthening effect of home government subsidies (HGS), demonstrating the coexistence and variation of pro- and anti- market institutions in an emerging market. Using information on 1,450 FDI projects conducted by 288 Chinese listed firms in 116 host countries, we obtain supportive evidence for the predicted relationships between the three institutional forces. This study enriches the literatures on institutional arbitrage and pro-market institutions with evidence from EMFs.     

Creating Shopper Value: Co-Creation Roles,In-Store Self-Service Technology Use,and Value Differentiation

This study examines how retailers can use self-service technologies (SST) to increase shopper satisfaction. Using a survey of 188 consumers of a new self-service kiosk launch within a convenience-store (c-store) setting, we examine how such retailers might influence shopper's perceptions of value by better involving customers in the service delivery experience. Our proposed model links classic service operations and marketing design insights to the service-dominant logic perspective of service value co-creation. We find that shoppers perceive enhanced value creation from the new SST when they feel comfortable in their roles and the surrounding service design supports those roles.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Truthful germs are contagious: A local-to-global characterization of truthfulness

We study the question of which social choice functions from an abstract type space to a set of outcomes are truthful, i.e., implementable by truthful mechanisms, when utilities are quasi-linear. For convex domains, our main theorem characterizes truthful social choice functions as those satisfying two properties: local weak monotonicity and vortex-freeness. The first of these constrains the function values at any two sufficiently proximal points, while the second asserts that its line integrals around sufficiently small triangular loops must vanish.The characterization implies a local-to-global principle that allows one to deduce truthfulness of a function from its behavior on arbitrarily small neighborhoods of each point. Other consequences include a simple alternate derivation of the Saks–Yu Theorem that weak monotonicity characterizes truthfulness of functions having a convex domain and finite range, and a sufficient condition for constructing truthful functions by “stitching together” truthful subfunctions on different subsets of the domain.     

论历史逻辑

历史逻辑是以历史时间的历时性和共时性统一为基础的概念推论，研究关于叙述史中基本概念之间的意义关系和推论规则。过去、现在和未来是历史逻辑的基本范畴，“过去-现在-未来”三段式是历史逻辑的基本公式，它是概念逻辑推论三段式“正题-反题-合题”在历史逻辑中的具体形式。历史逻辑研究的目的，是根据特定历史时段的特殊性，建构以不同时段概念为逻辑变项的历史逻辑，预见未来的发展，规划现在的实践。     

A fuzzy goal programming approach to analyse sustainable development goals of India

Energy policy, environmental planning and economic development play a key role in sustainable development. Sustainable development requires suitable and strategic policies satisfying multiple and conflicting objectives. Fuzzy goal programming (FGP) is a well-known approach in multi-criteria decision-making for its practical application. In this article, a FGP approach is proposed to analyse environmental, energy and sustainability goals of India by the year 2030 with reference to the key economic sectors of India. The presented model analyses the improvement opportunities, requirement of efforts and implementation of the sustainable development plans. Numerical illustration is also provided for validation and application of the proposed model.     

Informing timeshare exchange services on the drivers of customer-driven co-production

Given the continued growth of the timeshare segment and its unique characteristics as an owned leisure lodging product, adopting a service-dominant logic and developing opportunities for co-creation is highly relevant for companies that provide services to this industry. Specifically, the purpose of this study is to explore the drivers that lead to customer-driven co-production in timeshare exchange services, due to the popularity of this option among consumers owning timeshare. Our results indicate that interaction between timeshare owners as customers of the exchange company is a significant driver of customer-driven co-production. To the authors’ knowledge, this is the first study to explore customer-driven co-production in the timeshare industry. Moreover, our findings are highly significant for timeshare exchange companies and point them to potential areas of improvement in their service processes that could lead to higher customer-driven co-production and, consequently, more valuable experiences.