Publication detail

Optimal Tasks Assignments in a Large Accountancy Firm Using Dialogues With Fuzzy Expert Systems

KÁBA, D. KORÁB, V.

Original Title

Optimal Tasks Assignments in a Large Accountancy Firm Using Dialogues With Fuzzy Expert Systems

English Title

Optimal Tasks Assignments in a Large Accountancy Firm Using Dialogues With Fuzzy Expert Systems

Type

conference paper

Language

Czech

Original Abstract

Abstract. A large accountancy firm employs several tens of accountants and gets hundreds of accountancy tasks of different sizes and nature. Each task has to be assigned to an accountant. In theory this problem can be solved by well known methods of operation research. However, some very important characteristics of different accountants are very vague and therefore difficult to quantify e.g.: Creativity, Loyalty, Ability to gain confidence of clients. The mentioned characteristics make applications of traditional e.g. scheduling algorithms prohibitively difficult. Moreover some accountancy tasks are unique and their assignments can be done just by an experienced manager and not by an algorithm. Fuzzy descriptions of tasks and accountants are studied in this paper. A two level assignment process is studied. The preliminary screening decides if the task under study is a routine task or not. The routine task is such task which can be assigned by the fuzzy algorithm. A non-routine task assignment is made by a dialogue: manager ? fuzzy expert system. The case study presents a fuzzy knowledge base with 30 dimensional fuzzy descriptions of 40 accountants. The knowledge base is used to make a routine assignment and a short dialog represented by a sequence of queries and answers is described in detail.

English abstract

Abstract. A large accountancy firm employs several tens of accountants and gets hundreds of accountancy tasks of different sizes and nature. Each task has to be assigned to an accountant. In theory this problem can be solved by well known methods of operation research. However, some very important characteristics of different accountants are very vague and therefore difficult to quantify e.g.: Creativity, Loyalty, Ability to gain confidence of clients. The mentioned characteristics make applications of traditional e.g. scheduling algorithms prohibitively difficult. Moreover some accountancy tasks are unique and their assignments can be done just by an experienced manager and not by an algorithm. Fuzzy descriptions of tasks and accountants are studied in this paper. A two level assignment process is studied. The preliminary screening decides if the task under study is a routine task or not. The routine task is such task which can be assigned by the fuzzy algorithm. A non-routine task assignment is made by a dialogue: manager ? fuzzy expert system. The case study presents a fuzzy knowledge base with 30 dimensional fuzzy descriptions of 40 accountants. The knowledge base is used to make a routine assignment and a short dialog represented by a sequence of queries and answers is described in detail.

Keywords

Keywords: fuzzy, fuzzy expert system, multi-objective decision-making, accountancy firm, artificial intelligence

Key words in English

Keywords: fuzzy, fuzzy expert system, multi-objective decision-making, accountancy firm, artificial intelligence

Authors

KÁBA, D.; KORÁB, V.

RIV year

2009

Released

29. 10. 2009

Publisher

University of Seville

Location

Seville, Spain

ISBN

978-84-692-6077-7

Book

Innovation & Change in European Environment

Edition

1

Edition number

1

Pages from

48

Pages to

57

Pages count

120

BibTex

@inproceedings{BUT32534,
  author="Daniel {Kába} and Vojtěch {Koráb}",
  title="Optimal Tasks Assignments in a Large Accountancy Firm Using Dialogues With Fuzzy Expert Systems",
  booktitle="Innovation & Change in European Environment",
  year="2009",
  series="1",
  number="1",
  pages="48--57",
  publisher="University of Seville",
  address="Seville, Spain",
  isbn="978-84-692-6077-7"
}