Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS methods

Prediction of Pakistan super league-2020 using TOPSIS and fuzzy TOPSIS...

Authors: Muhammad Naveed Jafar, Faizullah Khan, Amir Naveed
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Abstract

We lived in uncertain word and prediction in this uncertain word is a major issue. Prediction in cricket is very complex because there are many factors which are effecting on results. Weather, pitch, Conditions, Home grounds are some of these factors. In this article it is aimed to predict the results of PSL-2020 by using TOPSIS and Fuzzy TOPSIS methods. It will be interesting because first time in PSL history it is going to be held in Pakistan. But we use some serious factor to predict the winner of PSL-2020.

Keywords: PSL, TOPSIS, Prediction, Cricket
Application of fuzzy logic in portfolio management: evidence from Iranian researches

Application of fuzzy logic in portfolio management: evidence from Iran...

Authors: Meysam Kaviani, Seyed Fakhreddin, Fakhrehosseini
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Abstract

Over the past decades, financial researchers have proposed different methods in portfolio selection, so that, Markwotiz [1] introduced risk and return criteria for a portfolio selection. Since it is difficult how to select an adequate stock portfolio, fuzzy models have been able to help researchers by considering uncertainty. In this research, we surveyed a portfolio management by reviewing the relevant literature of fuzzy model in financial management. The results showed that a fuzzy model can to determine an optimal portfolio.

Keywords: Fuzzy Logic, Portfolio, Optimization
A new decision making approach for winning strategy based on muti soft set logic

A new decision making approach for winning strategy based on muti soft...

Authors: Renukadevi Vellapandi, Sangeetha Gunasekaran
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Abstract

We introduce a new concept of certainty and coverage of a parameter of the soft set and present a new decision making approach for the soft set over the universe using the certainty of a parameter. Also, we point out the drawbacks of the reduct definition by pointing out the delusion of Proposition 14 given by Herawan et al. [20] and provide the revised definition of the reduct of the multi soft set.

Keywords: Certainty Coverage, Flow Graph, Decision Making, Multi-Valued Information System, Multi Soft Set
Medical diagnostic analysis on some selected patients based on modified Thao et al.’s correlation coefficient of intuitionistic fuzzy sets via an algorithmic approach

Medical diagnostic analysis on some selected patients based on modifie...

Authors: Paul Augustine Ejegwa, Idoko Charles Onyeke
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Abstract

The concept of correlation coefficient of intuitionistic fuzzy sets is a reliable tool in information theory with numerous applications in diverse areas. Correlation coefficients of intuitionistic fuzzy sets have been studied through two-way approach by many researchers. This approach inappropriately discarded the hesitation margins of the concerned intuitionistic fuzzy sets, which makes the results of such experiments unreliable. In this paper, we modified the correlation coefficient of intuitionistic fuzzy sets of Thao et al. [36] in a three-way approach by including the hesitation margins in the computational process to enhance reliable output through an algorithmic method. We show that the modified correlation coefficient of intuitionistic fuzzy sets is more reasonable with precise outputs than correlation coefficient method. In terms of application, we demonstrate an analysis of medical diagnosis on some selected patients via an algorithm of the novel approach coded with JAVA programming language.

Keywords: Algorithmic Approach, Correlation Coefficient, Fuzzy Set, Intuitionistic Fuzzy Set, Medical Diagnostic Analysis
Computer and fuzzy theory application: review in home appliances

Computer and fuzzy theory application: review in home appliances

Authors: Tim Chen, Ilnar Karimov, Jcy Chen, Alexandv Constantinovitc
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Abstract

Clays have a tendency to this article first introduces the basic concepts of fuzzy theory, including comparisons between fuzzy sets and traditional explicit sets, fuzzy sets basic operations such as the membership function of the set and the colloquial variable, the intersection and union of the fuzzy set, and use the above concepts to guide into the four basic reasoning mechanisms of fuzzy mode and introduce several common types of fuzzy application examples such as fuzzy washing machine and fuzzy control of incinerator plant in China illustrate the application of fuzzy theory in real society.

Keywords: Fuzzy Theory, Fuzzy Control, Fuzzy Set
The picture fuzzy distance measure in controlling network power consumption

The picture fuzzy distance measure in controlling network power consum...

Authors: Ngan Thi Roan; Salvador Coll; Marina Alonso; Juan Miguel Martínez Rubio; Pedro López; Fran Andujar; Son Hoang Le; Manh Van Vu; Florentin Smarandache
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Abstract

In order to solve the complex decision-making problems, there are many approaches and systems based on the fuzzy theory were proposed. In 1998, Smarandache introduced the concept of single-valued neutrosophic set as a complete development of fuzzy theory. In this paper, we research on the distance measure between single-valued neutrosophic sets based on the H-max measure of Ngan et al. [8]. The proposed measure is also a distance measure between picture fuzzy sets which was introduced by Cuong in 2013 [15]. Based on the proposed measure, an Adaptive Neuro Picture Fuzzy Inference System (ANPFIS) is built and applied to the decision making for the link states in interconnection networks. In experimental evaluation on the real datasets taken from the UPV (Universitat Politècnica de València) university, the performance of the proposed model is better than that of the related fuzzy methods.

Keywords: Neutrosophic Set, Picture Fuzzy Set, Distance Measure, Decision Making, Interconnection Network, Power Consumption
Some remarks on neutro-fine topology

Some remarks on neutro-fine topology

Authors: Veerappan Chinnadurai, Mayandi Pandaram Sindhu
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Abstract

The neutro-fine topological space is a space that contains a combination of neutrosophic and fine sets. In this study, the various types of open sets such as generalized open and semi-open sets are defined in such space. The concept of interior and closure on semi-open sets are defined and some of their basic properties are stated. These definitions extend the concept to generalized semi-open sets. Moreover, the minimal and maximal open sets are defined and some of their properties are studied in this space. As well as, discussed the complement of all these sets as its closed sets. The basic properties of the union and intersection of these open sets are stated in some theorems. Only a few sets satisfy this postulates, and others are disproved as shown in the counterexamples. The converse of some theorems is proved in probable examples.

Keywords: Neutro-Fine-Generalized Open Sets, Neutro-Fine-Semi Open Sets, Neutro-Fine-Semi Interior, Neutro-Fine-Semi Closure, Neutro-Fine-Generalized Semi Open Sets, Neutro-Fine Minimal Open Set, Neutro-Fine Maximal Open Sets
An overview of portfolio optimization using fuzzy data envelopment analysis models

An overview of portfolio optimization using fuzzy data envelopment ana...

Authors: Mehrdad Rasoulzadeh; Mohammad Fallah
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Abstract

A combination of projects, assets, programs, and other components put together in a set is called a portfolio. Arranging these components helps to facilitate the efficient management of the set and subsequently leads to achieving the strategic goals. Generally, the components of the portfolio are quantifiable and measurable which makes it possible for management to manage, prioritize, and measure different portfolios. In recent years, the portfolio in various sectors of economics, management, industry, and especially project management has been widely applied and numerous researches have been done based on mathematical models to choose the best portfolio. Among the various mathematical models, the application of data envelopment analysis models due to the unique features as well as the capability of ranking and evaluating performances has been taken by some researchers into account. In this regard, several articles have been written on selecting the best portfolio in various fields, including selecting the best stocks portfolio, selecting the best projects, portfolio of manufactured products, portfolio of patents, selecting the portfolio of assets and liabilities, etc. After presenting the Markowitz mean-variance model for portfolio optimization, these pieces of research have witnessed significant changes. Moreover, after the presentation of the fuzzy set theory by Professor Lotfizadeh, despite the ambiguities in the selection of multiple portfolios, a wide range of applications in portfolio optimization was created by combining mathematical models of portfolio optimization.

Keywords: Portfolio Optimization, Data Envelopment Analysis, Fuzzy Sets, Intuitionistic Fuzzy Sets, Markowitz Model
Assessment and linear programming under fuzzy conditions

Assessment and linear programming under fuzzy conditions

Authors: Michael Voskoglou
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Abstract

The present work focuses on two directions. First, a new fuzzy method using triangular / trapezoidal fuzzy numbers as tools is developed for evaluating a group’s mean performance, when qualitative grades instead of numerical scores are used for assessing its members’ individual performance. Second, a new technique is applied for solving Linear Programming problems with fuzzy coefficients. Examples are presented on student and basket-ball player assessment and on real life problems involving Linear Programming under fuzzy conditions to illustrate the applicability of our results in practice. A discussion follows on the perspectives of future research on the subject and the article closes with the general conclusions.

Keywords: Fuzzy Set (FS), Fuzzy Number (FN), Triangular FN (TFN), Trapezoidal FN (TpFN), Center of Gravity (COG), Defuzzification Technique, Fuzzy Linear Programming (FLP)
Using interval type-2 fuzzy logic to analyze Igbo emotion words

Using interval type-2 fuzzy logic to analyze Igbo emotion words

Authors: Uduak Umoh; Imo Eyoh; Etebong Isong; Anietie Ekong; Salvation Peter
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Abstract

Several attempts had been made to analyze emotion words in the fields of linguistics, psychology and sociology; with the advent of computers, the analyses of these words have taken a different dimension. Unfortunately, limited attempts have so far been made to using interval type-2 fuzzy logic (IT2FL) to analyze these words in native languages. This study used IT2FL to analyze Igbo emotion words. IT2F sets are computed using the interval approach method which is divided into two parts: the data part and the fuzzy set part. The data part preprocessed data and its statistics computed for the interval that survived the preprocessing stages while the fuzzy set part determined the nature of the footprint of uncertainty; the IT2F set mathematical models for each emotion characteristics of each emotion word is also computed. The data used in this work was collected from fifteen subjects who were asked to enter an interval for each of the emotion characteristics: Valence, Activation and Dominance on an interval survey of the thirty Igbo emotion words. With this, the words are being analyzed and can be used for the purposes of translation between vocabularies in consideration to context.

Keywords: Affective Computing, Valence, Activation, Dominance, Vocabularies
Multi item inventory model include lead time with demand dependent production cost and set-up-cost in fuzzy environment

Multi item inventory model include lead time with demand dependent pro...

Authors: Satya Kumar Das
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Abstract

In this paper, we have developed the multi-item inventory model in the fuzzy environment. Here we considered the demand rate is constant and production cost is dependent on the demand rate. Set-up- cost is dependent on average inventory level as well as demand. Lead time crashing cost is considered the continuous function of leading time. Limitation is considered on storage of space. Due to uncertainty all cost parameters of the proposed model are taken as generalized trapezoidal fuzzy numbers. Therefore this model is very real. The formulated multi objective inventory problem has been solved by various techniques like as Geometric Programming (GP) approach, Fuzzy Programming Technique with Hyperbolic Membership Function (FPTHMF), Fuzzy Nonlinear Programming (FNLP) technique and Fuzzy Additive Goal Programming (FAGP) technique. An example is given to illustrate the model. Sensitivity analysis and graphical representation have been shown to test the parameters of the model.

Keywords: Inventory, Multi-Item, Leading Time, Generalized Trapezoidal Fuzzy Number, Fuzzy Techniques, GP Technique
Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis

Some similarity measures of spherical fuzzy sets based on the Euclidea...

Authors: Princy Rayappan, Mohana Krishnaswamy
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Abstract

Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of Spherical Fuzzy Sets (SFS) are defined based on the Euclidean distance measure and the proposed similarity measures satisfy the axiom of the similarity measure. Furthermore, we apply the proposed similarity measures to medical diagnosis decision making problem; the numerical example is used to illustrate the feasibility and effectiveness of the proposed similarity measures of SFS, which are then compared to other existing similarity measures.

Keywords: Spehrical Fuzzy Sets, Euclidean Distance, Proposed Similarity Measures Medical Diagnosis
Fuzzy programming approach to Bi-level linear programming problems

Fuzzy programming approach to Bi-level linear programming problems

Authors: Eshetu Dadi Gurmu; Tagay Takele Fikadu
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Abstract

In this study, we discussed a fuzzy programming approach to bi-level linear programming problems and their application. Bi-level linear programming is characterized as mathematical programming to solve decentralized problems with two decision-makers in the hierarchal organization. They become more important for the contemporary decentralized organization where each unit seeks to optimize its own objective. In addition to this, we have considered Bi-Level Linear Programming (BLPP) and applied the Fuzzy Mathematical Programming (FMP) approach to get the solution of the system. We have suggested the FMP method for the minimization of the objectives in terms of the linear membership functions. FMP is a supervised search procedure (supervised by the upper Decision Maker (DM)). The upper-level decision-maker provides the preferred values of decision variables under his control (to enable the lower level DM to search for his optimum in a wider feasible space) and the bounds of his objective function (to direct the lower level DM to search for his solutions in the right direction).

Keywords: Fuzzy Set, Fuzzy Function, Fuzzy Linear Programming, Bi Level Programming
An overview of data envelopment analysis models in fuzzy stochastic environments

An overview of data envelopment analysis models in fuzzy stochastic en...

Authors: Fatemeh Zahra Montazeri
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Abstract

One of the appropriate and efficient tools in the field of productivity measurement and evaluation is data envelopment analysis, which is used as a non-parametric method to calculate the efficiency of decision-making units. Today, the use of data envelopment analysis technique is expanding rapidly and is used in the evaluation of various organizations and industries such as banks, postal service, hospitals, training centers, power plants, refineries, etc.In real-world problems, the values observed from input and output data are often ambiguous and random. To solve this problem, data envelopment analysis in stochastic fuzzy environment was proposed. Although the DEA has many advantages, one of the disadvantages of this method is that the classic DEA does not actually give us a definitive conclusion and does not allow random changes in input and output. In this paper, we review some of the proposed models in data envelopment analysis with fuzzy and random inputs and outputs.

Keywords: Decision-Making, Efficiency, Stochastic Fuzzy DEA
A study on fundamentals of refined intuitionistic fuzzy set with some properties

A study on fundamentals of refined intuitionistic fuzzy set with some...

Authors: Atiqe Ur Rahman; Muhammad Rayees Ahmad; Muhammad Saeed; Muhammad Ahsan; Muhammad Arshad; Muhammad Ihsan
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Abstract

Zadeh conceptualized the theory of fuzzy set to provide a tool for the basis of the theory of possibility. Atanassov extended this theory with the introduction of intuitionistic fuzzy set. Smarandache introduced the concept of refined intuitionistic fuzzy set by further subdivision of membership and non-membership value. The meagerness regarding the allocation of a single membership and non-membership value to any object under consideration is addressed with this novel refinement. In this study, this novel idea is utilized to characterize the essential elements e.g. subset, equal set, null set, and complement set, for refined intuitionistic fuzzy set. Moreover, their basic set theoretic operations like union, intersection, extended intersection, restricted union, restricted intersection, and restricted difference, are conceptualized. Furthermore, some basic laws are also discussed with the help of an illustrative example in each case for vivid understanding.

Keywords: Fuzzy Set, Intuitionistic Fuzzy Set, Refined Intuitionistic Fuzzy Set

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