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Xiangqian Feng published an academic paper in Soft Computing

Recently, Feng, Xiangqian, Associate Professor, Department of Technology Economics and Management in Business School, published an academic paper in “Soft Computing” (an international SCI journal).


The title of his paper is Aggregation of pragmatic operators to support probabilistic linguistic multi-criteria group decision-making problems. In this paper, a multi-attribute group decision making method based on aggregation operators is presented to solve the decision-making problems which the evaluation values take the form of probabilistic linguistic terms sets (PLTSs). Firstly, some properties of the PLTS are defined, such as the concept and the linguistic terms transformation function, the existing comparison methods and the proposed score function and distance. Secondly, some novel operators are proposed by combining the Heronian mean operator with the centered OWA operator and the power average operator under probabilistic linguistic environment, such as the probabilistic linguistic weighted centered order weighted generalized Heronian mean operator and the probabilistic linguistic weighted power generalized Heronian mean operator. Thirdly, the model of deriving the criteria weight is put forward based on the ideology of deviation maximizing and customized individual attitudinal. Furthermore, based on the proposed aggregation operators and EDAS method, a scientific group decision making procedure is put forward under probabilistic linguistic environment. Finally, an illustrative example is also given to demonstrate the feasibility and practicality of the proposed method.


Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field.



Xiangqian Feng, Associate Professor at Nanjing Normal University Business School, graduated from Nanjing University of Aeronautics and Astronautics in 2008. In the international journal “Applied soft computing”, “Knowledge-Based Systems”, “International Journal of Fuzzy System Applications”, “International Journal of Machine Learning and Cybernetics” et al. published papers and acted as anonymous reviewers of the journal. The main research areas include decision making, information fusion, multiple criterion decision making, linguistic decision making, technical and economic evaluation.