Knowledge Management

Technological and Economic Development of Economy

The paper introduces the concept of simplified neutrosophic sets SNSs, which are a subclass of neutrosophic sets, and defines the operational laws of SNSs. Then, we propose some aggregation operators, including a simplified neutrosophic weighted arithmetic average operator and a simplified neutrosophic weighted geometric average operator. Based on the two aggregation operators and cosine similarity measure for SNSs, a multicriteria decision-making method is established in which the evaluation values of alternatives with respective to criteria are represented by the form of SNSs. The ranking order of alternatives is performed through the cosine similarity measure between an alternative and the ideal alternative and the best ones can be determined as well. Finally, a numerical example shows the application of the proposed method.

A multicriteria decision-making method using aggregation operators for simplified neutrosophic sets

The main research activities in economics during the last five years have significantly increased. The main research fields are operation research and sustainable development. The philosophy of decision making in economics is to assess and select the most preferable solution, implement it and to gain the biggest profit. Preferences are used in a lot of problem situations both in individual and organizational decision making processes. A number of effective decision making methods that support decisions under conditions of multiple criteria have appeared in the last decade. This paper presents a panorama of decision making methods in economics and summarizes the most important results and applications over the last five years. This paper considers decision making in light of the recent developments of multiple criteria decision making methods (because classical methods are overviewed in a lot of earlier publications). Authors of different approaches, pioneering studies and works are presented in s...

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Multiple criteria decision making (MCDM) methods in economics: an overview

Proposed a intuitionistic fuzzy based DEMATEL method for developing green practices.A case study from automotive industry is used for validation.Sensitivity analysis is performed to check the robustness of the method. Environmental topics have gained much consideration in corporate green operations. Globalization, stakeholder pressures, and stricter environmental regulations have made organizations develop environmental practices. Thus, green supply chain management (GSCM) is now a proactive approach for organizations to enhance their environmental performance and achieve competitive advantages. This study pioneers using the decision-making trial and evaluation laboratory (DEMATEL) method with intuitionistic fuzzy sets to handle the important and causal relationships between GSCM practices and performances. DEMATEL evaluates GSCM practices to find the main practices to improve both environmental and economic performances. This study uses intuitionistic fuzzy set theory to handle the linguistic imprecision and the ambiguity of human being's judgment. A case study from the automotive industry is presented to evaluate the efficiency of the proposed method. The results reveal "internal management support", "green purchasing" and "ISO 14001 certification" are the most significant GSCM practices. The practical results of this study offer useful insights for managers to become more environmentally responsible, while improving their economic and environmental performance goals. Further, a sensitivity analysis of results, managerial implications, conclusions, limitations and future research opportunities are provided.

Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain

Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making

With respect to risk decision making problems with interval probability in which the attribute values take the form of the uncertain linguistic variables, a multi-attribute decision making method based on prospect theory is proposed To begin with, the uncertain linguistic variables can be transformed into the trapezoidal fuzzy number, and the prospect value function of the trapezoidal fuzzy number based on the decision-making reference point of each attribute and the weight function of interval probability can be constructed; then the prospect value of attribute for every alternative is calculated through prospect value function of the trapezoidal fuzzy number and the weight function of interval probability, and the weighted prospect value of alternative is acquired by using weighted average method according to attribute weights, and all the alternatives are sorted according to the expected values of the weighted prospect values; Finally, an illustrate example is given to show the decision-making steps, the influence on decision making for different parameters of value function and different decision-making reference point, and the feasibility of the method

Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables

A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number

A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers

A method based on ordered weighted harmonic averaging operators is presented to solve the multiple attribute group decision making problems in which the attribute values take the form of generalized interval-valued trapezoidal fuzzy numbers GIVTFN. Firstly, the concept, the operational rules and the distance of GIVTFN are introduced, and the method of linguistic terms transformed into GIVTFN is defined. Secondly, the generalized interval-valued trapezoidal fuzzy numbers weighted harmonic averaging operator ITWHA, the generalized interval-valued trapezoidal fuzzy numbers ordered weighted harmonic averaging operator ITOWHA, and the generalized interval-valued trapezoidal fuzzy numbers hybrid harmonic averaging operator ITHHA are proposed. A group decision method based on these operators is also presented. Finally, an illustrate example is given to show the decision-making steps and the effectiveness of the proposed method.

Fang Jin

Papers

Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making

Research on the multi-attribute decision-making under risk with interval probability based on prospect theory and the uncertain linguistic variables

A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number

A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers

A multi-attribute group decision-making method based on interval-valued trapezoidal fuzzy numbers hybrid harmonic averaging operators