A graph model for conflict resolution with inconsistent preferences among large-scale participants

Fuzzy Optimization and Decision Making - As a flexible and powerful method to resolve strategy conflicts, the graph model for conflict resolution has drawn much attention. In the graph model for...     

Selecting products through text reviews: An MCDM method incorporating personalized heuristic judgments in the prospect theory

Fuzzy Optimization and Decision Making - Online reviews have become an increasingly popular information source in consumer’s decision making process. To help consumers make informed...     

A VIKOR-based method for hesitant fuzzy multi-criteria decision making

Since it was firstly introduced by Torra and Narukawa (The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 2009, pp. 1378–1382), the hesitant fuzzy set has attracted more and more attention due to its powerfulness and efficiency in representing uncertainty and vagueness. This paper extends the classical VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in serbian) method to accommodate hesitant fuzzy circumstances. Motivated by the hesitant normalized Manhattan distance, we develop the hesitant normalized Manhattan $L_p$ —metric, the hesitant fuzzy group utility measure, the hesitant fuzzy individual regret measure, and the hesitant fuzzy compromise measure. Based on these new measures, we propose a hesitant fuzzy VIKOR method, and a practical example is provided to show that our method is very effective in solving multi-criteria decision making problems with hesitant preference information.     

A consensus-based probabilistic linguistic gained and lost dominance score method

This paper proposes a comprehensive Multiple Criteria Group Decision Making (MCGDM) method with probabilistic linguistic information based on a new consensus measure and a novel outranking method, Gained and Lost Dominance Score (GLDS). Firstly, new operations of the probabilistic linguistic term sets are introduced based on the adjusted rules of probabilistic linguistic term sets and the linguistic scale functions for semantics of linguistic terms. After defining a new consensus measure based on the correlation degree between probabilistic linguistic term sets, we develop a consensus reaching method to improve the consensus degree of a group. To rank alternatives reasonably, we further propose the GLDS method which considers both the “group utility” and the “individual regret” values. The core of the GLDS is to calculate the gained and lost dominance scores that the optimal solution dominates all other alternatives in terms of the net gained dominance flow and the net lost dominance flow. Then, we integrate the GLDS ranking method with the consensus reaching process and develop a consensus-based PL-GLDS method to solve the MCGDM problems with probabilistic linguistic information. Finally, the proposed method is validated by a case study of selecting optimal green enterprises. Some comparative analyses are given to show the efficiency of the proposed method.     

输电钢管塔环板节点极限承载力的理论研究

以圆环-母线梁模型为基础,运用虚功原理,研究了无环板和四分之一环板节点极限承载力的计算方法,并给出了节点极限承载力的建议公式.通过将其与试验结果、有限元计算结果、日本铁塔协会的送电用钢管铁塔制作基准的计算结果进行对比,证明本文所提出的建议公式得到的结果较日本铁塔协会的送电用钢管铁塔制作基准的计算结果有所提高,并能较好地与试验和有限元计算的结果吻合,与试验结果的误差约为3%.本文可为超高压输电钢管塔节点设计和节点极限承载力确定提供参考.