scholarly journals A study on soft rough semigroups and corresponding decision making applications

2017 ◽  
Vol 15 (1) ◽  
pp. 1400-1413 ◽  
Author(s):  
Qiumei Wang ◽  
Jianming Zhan ◽  
R.A. Borzooei
Keyword(s):  
Decision Making ◽  
The Other ◽  
Prime Ideals ◽  
Soft Sets ◽  
Regular Semigroups ◽  
Maximum Regularity

Abstract In this paper, we study a kind of soft rough semigroups according to Shabir’s idea. We define the upper and lower approximations of a subset of a semigroup. According to Zhan’s idea over hemirings, we also define a kind of new C-soft sets and CC-soft sets over semigroups. In view of this theory, we investigate the soft rough ideals (prime ideals, bi-ideals, interior ideals, quasi-ideals, regular semigroups). Finally, we give two decision making methods: one is for looking a best a parameter which is to the nearest semigroup, the other is to choose a parameter which keeps the maximum regularity of regular semigroups.

A Bird in the Hand Isn’t Good for Long

2018 ◽  
Vol 65 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Stefan Scherbaum ◽  
Simon Frisch ◽  
Maja Dshemuchadse
Keyword(s):  
Decision Making ◽  
Cognitive Control ◽  
The Other ◽  
Decision Task ◽  
Short Term ◽  
Additional Time ◽  
Control Processes ◽  
Folk Wisdom ◽  
Study Participants ◽  
Insight Into

Abstract. Folk wisdom tells us that additional time to make a decision helps us to refrain from the first impulse to take the bird in the hand. However, the question why the time to decide plays an important role is still unanswered. Here we distinguish two explanations, one based on a bias in value accumulation that has to be overcome with time, the other based on cognitive control processes that need time to set in. In an intertemporal decision task, we use mouse tracking to study participants’ responses to options’ values and delays which were presented sequentially. We find that the information about options’ delays does indeed lead to an immediate bias that is controlled afterwards, matching the prediction of control processes needed to counter initial impulses. Hence, by using a dynamic measure, we provide insight into the processes underlying short-term oriented choices in intertemporal decision making.

Mental Contrasting of Future and Reality

2010 ◽  
Vol 9 (3) ◽  
pp. 138-144 ◽  
Author(s):  
Gabriele Oettingen ◽  
Doris Mayer ◽  
Babette Brinkmann
Keyword(s):  
Decision Making ◽  
Everyday Life ◽  
Brief Intervention ◽  
Middle Level ◽  
The Other ◽  
Metacognitive Strategy ◽  
Mental Contrasting ◽  
Low Expectations

Mental contrasting of a desired future with present reality leads to expectancy-dependent goal commitments, whereas focusing on the desired future only makes people commit to goals regardless of their high or low expectations for success. In the present brief intervention we randomly assigned middle-level managers (N = 52) to two conditions. Participants in one condition were taught to use mental contrasting regarding their everyday concerns, while participants in the other condition were taught to indulge. Two weeks later, participants in the mental-contrasting condition reported to have fared better in managing their time and decision making during everyday life than those in the indulging condition. By helping people to set expectancy-dependent goals, teaching the metacognitive strategy of mental contrasting can be a cost- and time-effective tool to help people manage the demands of their everyday life.

An algebraic approach to N-soft sets with application in decision-making using TOPSIS

2021 ◽  
pp. 1-21
Author(s):  
Muhammad Shabir ◽  
Rimsha Mushtaq ◽  
Munazza Naz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Algebraic Approach ◽  
Multi Criteria Decision Making ◽  
Commutative Monoids ◽  
Soft Sets ◽  
Algebraic Properties ◽  
Different Types ◽  
Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

scholarly journals Generalised Interval-Valued Fuzzy Soft Set

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Shawkat Alkhazaleh ◽  
Abdul Razak Salleh
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Fuzzy Set ◽  
Medical Diagnosis ◽  
Soft Set ◽  
Fuzzy Soft Set ◽  
Soft Sets ◽  
Decision Making Problem ◽  
Fuzzy Soft Sets ◽  
Interval Valued

We introduce the concept of generalised interval-valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem. We also introduce a similarity measure of two generalised interval-valued fuzzy soft sets and discuss its application in a medical diagnosis problem: fuzzy set; soft set; fuzzy soft set; generalised fuzzy soft set; generalised interval-valued fuzzy soft set; interval-valued fuzzy set; interval-valued fuzzy soft set.

Care Ethics: A Concept in Search of a Framework

1995 ◽  
Vol 4 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Erich H. Loewy
Keyword(s):  
Decision Making ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Care Ethics ◽  
Healthcare Setting ◽  
The Other ◽  
Care Ethic ◽  
The Relationship

In this paper, I want to try to put what has been termed the “care ethics” into a different perspective. While I will discuss primarily the use of that ethic or that term as it applies to the healthcare setting in general and to the deliberation of consultants or the function of committees more specifically, what I have to say is meant to be applicable to the problem of using a notion like “caring” as a fundamental precept in ethical decision making. I will set out to examine the relationship between theoretical ethics, justice-based reasoning, and care-based reasoning and conclude by suggesting not only that all are part of a defensible solution when adjudicating individual cases, but that these three are linked and can, in fact, be mutually corrective. I will claim that using what has been called “the care ethic” alone is grossly insufficient for solving individual problems and that the term can (especially when used without a disciplined framework) be extremely dangerous. I will readily admit that while blindly using an approach based solely on theoretically derived principles is perhaps somewhat less dangerous, it is bound to be sterile, unsatisfying, and perhaps even cruel in individual situations. Care ethics, as I understand the concept, is basically a non- or truly an anti-intellectual kind of ethic in that it tries not only to value feeling over thought in deliberating problems of ethics, but indeed, would almost entirely substitute feeling for thought. Feeling when used to underwrite undisciplined and intuitive action without theory has no head and, therefore, no plan and no direction; theory eventuating in sterile rules and eventually resulting in action heedlessly based on such rules lacks humanity and heart. Neither one nor the other is complete in itself. There is no reason why we necessarily should be limited to choosing between these two extremes.

scholarly journals A Novel Approach to Fuzzy Soft Set-Based Group Decision-Making

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Qinrong Feng ◽  
Xiao Guo
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Comparison Analysis ◽  
Fuzzy Soft Set ◽  
Soft Sets ◽  
Novel Approach ◽  
Decision Making Problem ◽  
Fuzzy Soft Sets ◽  
Effective Group

There are many uncertain problems in practical life which need decision-making with soft sets and fuzzy soft sets. The purpose of this paper is to develop an approach to effectively solve the group decision-making problem based on fuzzy soft sets. Firstly, we present an adjustable approach to solve the decision-making problems based on fuzzy soft sets. Then, we introduce knowledge measure and divergence degree based on α-similarity relation to determine the experts’ weights. Further, we develop an effective group decision-making approach with unknown experts’ weights. Finally, sensitivity analysis about the parameters and comparison analysis with other existing methods are given.

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