The author reflects on the evaluation of the notion of money in history. In many situations coins and banknotes were a proof for the existence of local, independent, political power. People’s attitude toward money was quite an important matter, too; in many situations neither money nor those professionally dealing with money were appreciated socially. Numerous utopian movements disliked money. Communism was one of them. The communist economy was driven — at least in theory — by overwhelming planning rather than by the incentive of money. After the fall of communism a question arised whether all or nearly all public activity should be driven by money or whether some domains of social activity should rather be kept as public domains.
The study aims to examine the role of Self-Forgiveness in shaping the Human Flourishing of the adults. Two hundred fourteen participants (18 to 30 years) comprising 100 males (Mean Age = 22.15(1.61)) and 114 females (Mean Age = 22.00(1.95)) were chosen for the study. Self-forgiveness (Mudgal & Tiwari, 2017a) and Mental Health Continuum-Short Form (Keyes, 2005) were used as the tools. Self-forgiveness comprises Realization & Reparation, Guilt, Attribution and overall self-forgiveness (sum of the first three) while Human Flourishing consists of Hedonic and Eudaimonic (Social plus Psychological) Well-Being. The aggregate of Hedonic and Eudaimonic is overall Human Flourishing. The findings suggested no gender differences in Self-Forgiveness of the participants. Conversely, gender differences were observed in all the dimensions of Human Flourishing in favour of males. Irrespective of gender, Realization & Reparation was positively correlated with Hedonic, Social, Psychological and Eudaimonic Well-Being as well as Human Flourishing except for Guilt and Attribution that showed small positive or negative correlations. Irrespective of gender, Overall Self-Forgiveness correlated positively with all the dimensions of Flourishing. Gender and Realization & Reparation emerged as the significant predictors accounting for significant variance in all the dimensions of Flourishing while Guilt and Attribution did not. The findings suggested that remorse, easy acceptance of wrongdoing, repairing the relationship with self and others, ability to minimize negative emotions towards self, monitoring others’ positive behaviours and acknowledgements of valued and close relationships were the psychological mechanisms that may underlie the predictive strengths of self-forgiveness in regulating flourishing.
In this paper, it has been shown that any measuring process can be modeled as a process of sampling of signals. Also, a notion of a special kind of functions, called here functions with attributes, has been introduced. The starting point here, in the first of the above themes, is an observation that in fact we are not able to measure and record truly continuously in time any physical quantity. The measuring process can be viewed as going stepwise that is in steps from one instant to another, similarly as a sampling of signals proceeds. Therefore, it can be modeled as the latter one. We discuss this in more detail here. And, the notion of functions with attributes, we introduced here, follows in a natural way from the interpretation of both the measuring process as well as the sampling of signals that we present in this paper. It turns out to be useful.
In this paper, a new set of intuitionistic fuzzy aggregation operators have been introduced under the environment of intuitionistic fuzzy sets (IFSs). For this, firstly focused on some existing aggregation operators and then new operational rules known as Dombi operation have been pro- posed which make the advancement of flexibility behavior with the parameter. Based on Dombi operation laws, some new averaging and geometric aggregation operators namely, intuitionistic fuzzy Dombi weighted averaging, ordered weighted averaging and hybrid weighted averaging operator, classified as IFDWA, IFDOWA and IFDHWA operators respectively and intuitionistic fuzzy Dombi geometric, ordered weighted geometric and hybrid weighted geometric operators, labeled as IFDWG, IFDOWG and IFDHWG operators respectively have been proposed. Further, some properties such as idempotency, boundedness, monotonicity and commutative are investigated. Finally, a multi-attribute decision-making model has been developed for the proposed operators to select the best mutual fund for investment. The execution of the comparative study has been examined with the existing operators in this environment.
Clean and cheap device, namely dye-sensitized solar cells (DSSCs) were fabricated using a natural dye extracted from Sambucus ebulus. We prepared five sample solutions with various pH in the extraction process to improve power conversion efficiency. The UV–visible absorption investigation of sample solutions and on photoanode show the dyes from J-type aggregation on a photoanode substrate. Redox properties of all sample solutions certify thermodynamically a charge transfer from excited state to conduction band TiO2. The optical properties of various dye solutions were investigated and results showed darkness and bluish tint effect of dye solutions extracted in basic environment rather than those extracted in acidic condition. Moreover, in comparison to the basic condition, the dye solutions extracted in acidic environment were more saturated and colorimetrically less different from that one which extracted in neutral condition. Photophysical and photoelectrochemical performance of natural extraction dyes have been studied in dye-sensitized solar cell devices. The results show the rather high conversion efficiency of 0.57%, 1.15%, 1.02%, 0.35% and 0.15% of each individual dye extraction, respectively.
This paper aims to propose a new multi-attribute decision making (MADM) method in complicated and fuzzy decision-making environment. To express both decision makers (DMs’) quantitative and qualitative evaluation information comprehensively and consider their high hesitancy in giving their assessment values in MADM process, we combine q-rung dual hesitant fuzzy sets (q-RDHFSs) with uncertain linguistic variables and develop a new tool, called the q-rung dual hesitant uncertain linguistic sets (q-RDHULSs). First, the definition, operations and comparison method of q-RDHULSs are proposed. Second, given the interrelationship among multiple q-rung dual hesitant uncertain linguistic variables (q-RDHULVs) we introduce some aggregation operators (AOs) to fuse q-rung dual hesitant uncertain linguistic (q-RDHUL) information based on the Muirhead mean, i.e. the q-RDHUL Muirhead mean operator, the q- RDHUL weighted Muirhead mean operator, the q-RDHUL dual Muirhead mean operator, and the q-RDHUL weighted dual Muirhead mean operator. To cope with MADM problems with q-RDHUL information, we propose a new method based on the proposed AOs. Afterwards, we apply the proposed method to an enterprise informatization level evaluation problem to verify its effectiveness. In addition, we also explain why our proposed method is more powerful and flexible than others.