Jaime Gil-Aluja - Böcker

This work deals fundamentally with two of the most important aspects of personnel management, namely selection and job mobility. These topics are treated using late-1990s techniques created from all-purpose logic for handling uncertainty. Personnel recruitment is covered from the angle of selection techniques for improved efficiency for the company and greater satisfaction and self-realization for the employee. When considering workplaces, the suitability of each person and their mobility are studied under the best economic conditions. An alternative type of mathematics is used within this subject-matter is used for the development of models and algorithms. Complex subjects such as uncertainty are explained pedagogically starting from a low level and, when necessary, recourse has been made to reminders of basic aspects to enable a wide readership to profit from this work. This volume should be of interest to those whose work involves personnel management, production operation and manufacturing management, labour economics, industrial organization, operations research and management sciences.

The objective of this volume is to discuss and explain the problems caused by the investment process in a world that is so full of change that it has become uncertain. For this reason the author presents a wide range of theoretical and technical elements gathered from the new mathematics of uncertainty, both in its numerical and non-numerical aspects. In this regard an important role is played by the theories of fuzzy sub-sets, forgotten effects, affinities, expertons and many others that are being introduced with such success, in an attempt to arrive at a solution to the complex problems of management and the economy. Researchers, consultants and students interested in the application of mathematics to economics, management and investment should find this text of interest.

This volume provides tools for making decisions in an environment of uncertainty. In Chapter 1 the author explains the most important aspects of the concept of relation. From this start arise the other three concepts that cover practically all processes from which decisions stem. These three concepts are: attribution from which the concept of assignment arises; and grouping, which includes the concept of an original function. The techniques presented, as well as the models and algorithms developed, constitute an aid for those who must make decisions.

This Handbook is intended for use by researchers and students working in the fields of engineering, economics, and management science.

This book provides tools for making decisions in an environment of uncertainty. In Chapter 1 the author explains the most important aspects of the concept of relation. From this start arise the other three concepts that cover practically all processes from which decisions stem. These three concepts are: attribution from which the concept of assignment arises; and grouping, which includes the concept of an original function. The techniques presented, as well as the models and algorithms developed, constitute an invaluable aid for those who must make decisions. Audience: Researchers and graduate students interested in mathematics applied to economics and management.

101 17. The company job balance sheet 101 18. The personnel and jobs structure 119 19. Work in homogeneous groups 125 20. Incorporation of Galois lattices 130 21. The selection of teams for associated tasks 134 22. A brief reference to costs 138 23. Problems associated with personnel assignment 140 The Hungarian assignment algorithm 24. 148 Theoretical elements of the Hungarian algorithm 25. 158 Assignment by means of the "Branch and Bound" 26. 170 Changes, abilities and costs 27. 181 28. Development of the capacity of initiative 186 29. Specialization or adaptable qualification 190 30. Incorporation of uncertainty 206 Economic incidence of passing of over from specialisation 31. to adaptable qualification 214 32. Retraining through the acquisition of new abilities 218 REFERENCES 222 FINAL CONSIDERATIONS 224 VI PREFACE The ups and downs faced by society during the latter half of the XX'Th century, have left remnants, from the uncertainty of which could emerge a different way of living together. This not only includes new ways of looking at more or less old problems, it also means a profound change of the very foundations on which investigation is based.

A mere few years ago it would have seemed odd to propose a Handbook on the treatment of management problems within a sphere of uncertainty. Even today, on the threshold of the third millennium, this statement may provoke a certain wariness. In fact, to resort to exact or random data, that is probable date, is quite normal and con­ venient, as we then know where we are going best, where we are proposing to go if all occurs as it is conceived and hoped for. To treat uncertain information, to accept a new principle and from there determined criteria, without being sure of oneself and confiding only in the will to better understand objects and phenomena, constitutes and compromise with a new form of understanding the behaviour of current beings that goes even further than simple rationality. Economic Science and particularly the use of its elements of configuration in the world of management, has imbued several generations with an analytical spirit that has given rise to the elaboration of theories widely accepted by the international scientific community. In this work we are proposing something a little more modest: to use, in the best possible way, data and information that are available for drawing up and applying techniques and instruments that are useful for current reality within the world of businesses and institutions, in an attempt to mislead ourselves as little as possible.

This book is a collection of selected papers presented at the SIGEF conference, held at the Faculty of Economics and Business of the University of Girona (Spain), 06-08 July, 2015.This edition of the conference has been presented with the slogan “Scientific methods for the treatment of uncertainty in social sciences”. There are different ways for dealing with uncertainty in management. The book focuses on soft computing theories and their role in assessing uncertainty in a complex world.It gives a comprehensive overview of quantitative management topics and discusses some of the most recent developments in all the areas of business and management in soft computing including Decision Making, Expert Systems and Forgotten Effects Theory, Forecasting Models, Fuzzy Logic and Fuzzy Sets, Modelling and Simulation Techniques, Neural Networks and Genetic Algorithms and Optimization and Control. The book might be of great interest for anyone working in the area of management and business economics and might be especially useful for scientists and graduate students doing research in these fields.

Fuzzy Sets in the Management of Uncertainty

Fuzzy Sets in the Management of Uncertainty presents an overview of current problems in business management, primarily for those situations involving decision making of an economic-financial nature. The monograph therefore discusses problems of planning, programming, control and brings light to the entire financial network in its three phases: raising funds, analysis and investment. Special attention is paid to production processes and marketing of products and services. This monograph is a highly readable overview and introduction for scientists, professionals, graduate students, managers and consultants in the growing field of applications and fuzzy logic in the field of management.

Little by little we are being provided with an arsenal of operative instruments of a non-numerical nature, in the shape of models and algorithms, capable of providing answers to the “aggressions” which our economics and management systems must withstand, coming from an environment full of turmoil. In the work which we are presenting, we dare to propose a set of elements from which we hope arise focuses capable of renewing those structures of economic thought which are upheld by the geometrical idea. The concepts of pretopology and topology, habitually marginalized in economics and management studies, have centred our interest in recent times.  We consider that it is not possible to conceive formal structures capable of representing the Darwinism concept of economic behaviour today without recurring to this fundamental generalisation of metric spaces.  In our attempts to find a solid base to the structures proposed for the treatment of economic phenomena, we have frequently resorted to the theory of clans and the theory of affinities with results which we believe to be satisfactory.  We would like to go further, establishing, if possible, the connection between their axiomatics at the same time as developing some uncertain pretopologies and topologies capable of linking previously unconnected theories, at the sametime easing the creation of other new theories.

Little by little we are being provided with an arsenal of operative instruments of a non-numerical nature, in the shape of models and algorithms, capable of providing answers to the “aggressions” which our economics and management systems must withstand, coming from an environment full of turmoil. In the work which we are presenting, we dare to propose a set of elements from which we hope arise focuses capable of renewing those structures of economic thought which are upheld by the geometrical idea. The concepts of pretopology and topology, habitually marginalized in economics and management studies, have centred our interest in recent times.  We consider that it is not possible to conceive formal structures capable of representing the Darwinism concept of economic behaviour today without recurring to this fundamental generalisation of metric spaces.  In our attempts to find a solid base to the structures proposed for the treatment of economic phenomena, we have frequently resorted to the theory of clans and the theory of affinities with results which we believe to be satisfactory.  We would like to go further, establishing, if possible, the connection between their axiomatics at the same time as developing some uncertain pretopologies and topologies capable of linking previously unconnected theories, at the sametime easing the creation of other new theories.

FIRST PART Preparation of the Investment 1. Investments in the Company 19 The decline of stability . . 19 The change in direction of studies on the investment process. 25 Basic elements for arithmetical study of selection 29 Thc study of selection from non-numerical elements. 37 2. Programming Investment Activity 49 Classical programming techniques. 49 Handling of an investment programme. 56 Incorporation of costs into investment projects . . . . . . . . . . . . . . . . . . 66 Estimating financial needs throughout the process. 72 3. Financial Risk of Investment 85 Financial aspects of the investment process. 85 Determination of the financial capacity of the investment . . 89 From pre-diagnosis to diagnosis. 102 Numerical determination of the financial risk of an investment. 106 4. Analysis of financial products for the investment 113 Aspects prior to product analysis. 113 Analysis by means of the clan concept . . . . . . . . . . . . . . . . . . . 117 Obtaining affinities and thc use of codes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 Grouping the characteristics of the products by means of the Moore closing. 126 From product grouping to affinities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 10 / Index SECOND PART Selection 5. A first approximation to selection models 145 Updating of monetary currents 145 Incorporation of the lack of precision of interests rates . . . . . . . . . . . . . . . . 153 The hypothesis of known net values and fuzzy rate of interest . . . . . . 157 6. Selection of investments in an economy with inflation 165 Estimate of monetary currents at constant prices . . . . . . . . . . . . . . . . . . . 165 Estimate of monetary currents at prices for each period . . . . . . . 172 The hypothesis of different rates of inflation . . . . 180 7.