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The triangular intuitionistic fuzzy number (TIFN) is very useful for expressing ill-known quantity. The purpose of this paper is to develop a new method for multi-attribute group decision-making (MAGDM) problems, in which the attribute values are the TIFNs, the attribute weights are completely unknown and the weights of decision makers are given by linguistic variables.

A new method is given to rank TIFNs based on the weighted possibility mean and standard deviation of TIFNs. The weighted Minkowski distance of TIFNs is defined by using the weighted lower and upper possibility means of TIFNs. The weights of experts are determined in terms of the voting model of intuitionistic fuzzy set (IFS). The weights of attributes can be objectively determined through utilizing the information entropy defined by weighted Minkowski distance of TIFNs. Through integrating the attribute weights and expert weights, the collective comprehensive ranking values of alternatives are obtained and used to rank the alternatives.

The stock selection example and comparison analysis show the validity and applicability of the method proposed in this paper.

The paper presents a new ranking method of TIFNs and defines the weighted Minkowski distance of TIFNs. The weights of experts are determined in terms of the voting model of IFS. The weights of attributes can be objectively determined through utilizing the information entropy. The proposed method can greatly enhance the flexibility and agility of decision-making process.

Multi‐sensor data fusion (MSDF) is defined as the process of integrating information from multiple sources to produce the most specific and comprehensive unified data about an entity, activity or event. Multi‐sensor object recognition is one of the important technologies of MSDF. It has been widely applied in the fields of navigation, aviation, artificial intelligence, pattern recognition, fuzzy control, robot, and so on. Hence, aimed at the type recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers, the purpose of this paper is to propose a new fusion method from the viewpoint of decision‐making theory.

This work, first divides the comprehensive transaction process of sensor signal into two phases. Then, aimed at the type recognition problem, the paper gives the definition of similarity degree between two triangular fuzzy numbers. By solving the maximization optimization model, the vector of characteristic weights is objectively derived. A new fusion method is proposed according to the overall similarity degree.

The results of the experiments show that solving the maximization optimization model improves significantly the objectivity and accuracy of object recognition.

The paper studies the type recognition problem in which the characteristic values of object types and observations of sensors are in the form of triangular fuzzy numbers. By solving the maximization optimization model, the vector of characteristic weights is derived. A new fusion method is proposed. This method improves the objectivity and accuracy of object recognition.

The purpose of this paper is to research stochastic dynamic investment games with stochastic interest rate model in continuous time between two investors. The market interest rate has the dynamics of Duffie‐Kan interest rate.

Recently, there has been an increasing interest in financial market models whose key parameters, such as the bank interest rate, stocks appreciation rates, and volatility rates, are modulated by stochastic interest rate. This paper uses the Duffie‐Kan stochastic interest rate model to develop stochastic differential portfolio games. By the HJB optimality equation, a general result in optimal control for a stochastic differential game with a general utility payoff function is obtained.

Derive a general result in optimal control for a stochastic differential game with a general utility payoff function. The explicit optimal strategies and value of the games are obtained for the constant relative risk aversion utility games of fixed duration.

Accessibility and availability of stochastic interest rate data are the main limitations, which apply.

The results obtained in this paper could be used as a guide to actual portfolio games.

This paper presents a new approach for the optimal portfolio model under compound jump processes. The paper is aimed at actual portfolio games.

The purpose of this paper is to research the optimal portfolio proportion for the optimal investment model and the optimal consumption investment strategies for the optimal consumption investment model under compound‐jump processes.

Traditionally, the price of risky security or asset is often modeled as geometric Brownian motion. However, the analysis of stock price evolution reveals sudden and rare breaks logically accounted for by exogenous events on information. It is natural to model such behavior by means of a point process, or, more simply, by a Poisson process, which has jumps of constant size occurring at rare and unpredictable intervals. Assume that the price of risky security stock is modeled by a compound‐jump process, the renew process theory is chosen to solve the optimal investment model, the HJB equation is chosen for the optimal consumption investment model.

Derive the analytical optimal portfolio proportion for the reduction model of optimal investment. The optimal consumption investment strategies are given by some equations for the optimal consumption investment model.

Accessibility and availability of data are the main limitations which model will be applied.

The results obtained in this paper could be used as a guide to actual portfolio management.

The new approach for the optimal portfolio model under compound‐jump processes. The paper is aimed at actual portfolio managers.

The purpose of this paper is to explore the impact of multidimensional perceived value and perceived pressure on physicians’ continuous intention to use (CIU) online health communities (OHCs) based on perceived value (PV) theory and conservation of resources (COR) theory.

This study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modelling (PLS-SEM) for which data were collected from 481 physicians with OHC experience using an online survey.

The empirical results show the following: (1) Physicians’ CIU is influenced by perceived value and perceived pressure, with attitude towards OHCs using (ATU) playing a crucial role in the pathways. (2) Additional value, work pressure, peer pressure and social pressure have a positive impact on CIU, with consultation value, relationship value, work pressure and peer pressure positively influencing CIU through ATU as a mediator. (3) Reputation value has a positive effect on CIU moderated by seniority (online seniority and offline seniority).

This study emphasises the importance of different dimensions of perceived value and perceived pressure in CIU. Meanwhile, we broaden the research scope of PV theory and COR theory and provide inspiration to OHC managers and healthcare institution managers.

In the wake of numerous late twentieth century cult disasters, and most recently, the September 11 tragedy, this paper considers the question, why do people obey outrageous commands from charismatic authorities? According to Gary Becker, “the economic ap‐proach provides a valuable unified framework for understanding all human behavior” (Becker 1976:14). We test this generalization by attempting to explain, in terms of rational choice theory, the behavior of two members of infamous cults, the Manson Family and the Ragneesh Foundation International. Each of these subjects slavishly obeyed orders from a charismatic personality, one to the extent of committing murder. Were they mentally ill or rationally maximizing their utility? We consider these theoretical options. In August of 1969 Charles Manson ordered several of his followers to commit gruesome murders for the purpose of initiating the apocalypse. They obeyed. In late 1978, Jim Jones commanded over 900 members of the Peoples Temple to commit suicide. They obeyed. From 1981 to 1985, executing orders to build utopia perceived to come from their guru, members of the Ragneesh Foundation International terrorized the inhabitants of Antelope, Oregon. Similarly, followers of Osama Bin Laden are suspected of carrying out the disastrous suicide murders of September 11. Over past decades, the incidence of violence involving submission to a charismatic leader appears to be escalating. Increasingly the public must contend with the “awesome power” of charisma, “enshrouded in a mystique of irrationality” (Bradley 1987: 3–4). The extent to which followers committing criminal acts of obedience may be held accountable has become a pressing legal issue. How can this kind of volatile religious commitment be explained? In recent years, experts on cults have experimented with rational choice theory. According to economist, Gary Becker, “the economic approach provides a valuable unified framework for understanding all human behavior” (Becker 1976: 14). We test this extravagant claim with two cases of seemingly irrational commitment to a charismatic cult leader—one a follower of Bhagwan Rajneesh, the other a Manson Family killer. These subjects are not representative cult members but rather were chosen because they demonstrated an exceptional loyalty to their leaders that has been widely construed as the result of brainwashing or insanity. Rather than survey data, we rely on autobiographical testimonies since they offer a more detailed and comprehensive view of the thought processes that motivate behavior, the subject matter of this paper.

The ability to reflect upon and manage their internal functioning may very much help teams contribute to their organizations. This study suggests that managing conflict cooperatively and productively provides a foundation for effective team task reflexivity. 200 employees in 100 work teams in China completed measures of their team's cooperative, competitive, and avoiding approach conflict management and task reflexivity and 100 managers indicated the team's in‐role and extra‐role (organizational citizenship behavior) performance. Results support the theorizing that conflict management can contribute to team task reflexivity. Structural equation analyses were interpreted as suggesting that cooperative conflict management promotes task reflexivity that in turn results in team performance. These results, coupled with previous research, were interpreted as suggesting that cooperative approaches to conflict and task reflexivity are complementary foundations for effective teamwork.