Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novel intuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm.

Interval-valued intuitionistic fuzzy set (IVIFS) is a flexible method to deal with uncertainty and fuzziness. For the past few years, extensive researches about the multi-attribute group decision making (MAGDM) problems based on IVIFSs has been extensively studied in many fields. In this study, the Taxonomy method based on IVIFSs (IVIF-Taxonomy) was proposed for MAGDM problems. For the sake of the objectivity of attribute weight, entropy is introduced into the proposed model. The IVIF-Taxonomy method fully considers the weight of the decision makers (DMs) and the homogeneity of the chosen alternatives, making it more realistic. In addition, we apply IVIF-Taxonomy method to fund selection to verify the validity of IVIF-Taxonomy method. Finally, the trustworthy of IVIF-Taxonomy method is proved by comparing with the aggregate operator, IVIF-TOPSIS method, IVIF-GRA method and modified IVIF-WASPAS method.

In underwater sensor network, security becomes a primary concern in order to provide protected communication. In this paper, we present a novel network simulation component, wormhole attack, in NS2 ， for underwater sensor networks, after analyzing the current methods of simulating wormhole attack. The core idea of wormhole implementation is making a "tunnel" between two malicious nodes. If this "tunnel" is built on normal wireless or wired channel，there would be some unexpected channel loss. So in order to solve the problem, we selected the existing wired object Link, in the NS2 wired simulation package, to simulate the "tunnel" by copying the local packets and directly sending them to the wormhole object installed in a remote node. Experimental results demonstrate the effectiveness of the wormhole components in NS2 worked smoothly and comply with the actual. Keywords-wormhole attack; underwater sensor network (UWSN);split object；NS2;I.

Chatbots are increasingly adopted in our daily activities such as offering customer services and supporting our social activities. Yet, their potential for spiritual purpose is insufficiently explored. Interested in closing this gap, we conducted an interview study with 23 participants comprising 12 Christians, 5 Hindus, 4 Buddhists, 1 Muslim, and 1 Pagan, to probe how people who profess a religion perceive the idea of interacting with a chatbot in a spiritual context. During the interview, we also used a chatbot prototype to engage people in the speculation of a chatbot's roles in religious spaces and the desired functions. Our participants envisioned that spiritual chatbots retrieve religious information for the user. Some welcomed the idea of engaging in a religious conversation with a chatbot while others also expressed concerns of letting chatbots play an active role in religious space.

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