Assistant Decision-making Method of "NIMBY" Crisis Conversion in Waste Incineration Based on "Reputation and Benefit Space"

Author(s):  
Enyuan Liu ◽  
Minxuan Li ◽  
Sheng Liu
Author(s):  
Rui Zhao ◽  
Yuxin Huang ◽  
Yuyu Zhou ◽  
Meng Yang ◽  
Xinyue Liu

Power generation by municipal waste incineration provides a template not only for waste reduction but also for energy recovery. However, incineration plants face considerably strong protests from local communities. In such context, this study investigates the public's risk perception towards an operating incineration plant by using a word-frequency-based decision making approach to provide insight into risk mitigation while enhancing public acceptance. An operating municipal waste plant located at Chengdu, Sichuan Province was used as a case study to examine the risk perception posed by the host communities. Face-to-face interviews through a structured questionnaire were applied to data collection. A word frequency analysis was used to identify the key factors that influence public's risk perception and construct a multi-attributive decision matrix for the risk assessment. Entropy-based fuzzy decision making was implemented to discriminate the risk semi-quantitatively. To alleviate possible conflicts, policy implications were given.


2020 ◽  
Vol 258 ◽  
pp. 109946 ◽  
Author(s):  
Yongyou Nie ◽  
Yanjing Wu ◽  
Jinbu Zhao ◽  
Jizhi Zhou ◽  
Yuhao Zhang ◽  
...  

2020 ◽  
Vol 39 (3) ◽  
pp. 2909-2920 ◽  
Author(s):  
Fan Lei ◽  
Jianping Lu ◽  
Guiwu Wei ◽  
Jiang Wu ◽  
Cun Wei ◽  
...  

In this paper, we provide the probabilistic linguistic multiple attribute group decision making (PL-MAGDM) with incomplete weight information. In such method, the linguistic information firstly is shifted into probabilistic linguistic information. For obtaining the weight information of the attribute, two optimization models are built on the basis of the basic idea of grey relational analysis (GRA), by which the attribute weights can be obtained. Then, the optimal alternative is obtained through calculating largest relative relational degree from the probabilistic linguistic positive ideal solution (PLPIS) which considers both the largest grey relational coefficient (GRC) from the PLPIS and the smallest GRC form probabilistic linguistic negative ideal solution (PLNIS). Finally, a case study for waste incineration plants location problem is given to demonstrate the advantages of the developed methods.


2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.


2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


Sign in / Sign up

Export Citation Format

Share Document